Triple
T20733555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Proud Tower |
E509630
|
entity |
| Predicate | awarded |
P11
|
FINISHED |
| Object |
Richard H. Weil Award (American Bar Association) for chapter on the Dreyfus case
The Richard H. Weil Award (American Bar Association) for the chapter on the Dreyfus case is a legal writing honor recognizing outstanding scholarship and analysis related to the historic French political and judicial scandal involving Alfred Dreyfus.
|
E1447508
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Richard H. Weil Award (American Bar Association) for chapter on the Dreyfus case | Statement: [The Proud Tower, awarded, Richard H. Weil Award (American Bar Association) for chapter on the Dreyfus case]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard H. Weil Award (American Bar Association) for chapter on the Dreyfus case Context triple: [The Proud Tower, awarded, Richard H. Weil Award (American Bar Association) for chapter on the Dreyfus case]
-
A.
Dreyfus Teacher-Scholar Award
The Dreyfus Teacher-Scholar Award is a prestigious honor in the chemical sciences recognizing young faculty who have demonstrated outstanding research accomplishments and a commitment to exceptional teaching.
-
B.
Outstanding Scholar Award from the American Bar Foundation
The Outstanding Scholar Award from the American Bar Foundation is a prestigious honor recognizing exceptional scholarly contributions to the study of law and the legal profession.
-
C.
Learned Hand Medal for Excellence in Federal Jurisprudence
The Learned Hand Medal for Excellence in Federal Jurisprudence is a prestigious American legal award honoring outstanding contributions to federal law and judicial scholarship.
-
D.
Herbert Feis Award
The Herbert Feis Award is a prize given by the American Historical Association recognizing distinguished contributions to public history and the work of public historians.
-
E.
American Bar Association Medal
The American Bar Association Medal is the highest honor bestowed by the American Bar Association, recognizing exceptionally distinguished service to the cause of American jurisprudence.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Richard H. Weil Award (American Bar Association) for chapter on the Dreyfus case Triple: [The Proud Tower, awarded, Richard H. Weil Award (American Bar Association) for chapter on the Dreyfus case]
Generated description
The Richard H. Weil Award (American Bar Association) for the chapter on the Dreyfus case is a legal writing honor recognizing outstanding scholarship and analysis related to the historic French political and judicial scandal involving Alfred Dreyfus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Richard H. Weil Award (American Bar Association) for chapter on the Dreyfus case Target entity description: The Richard H. Weil Award (American Bar Association) for the chapter on the Dreyfus case is a legal writing honor recognizing outstanding scholarship and analysis related to the historic French political and judicial scandal involving Alfred Dreyfus.
-
A.
Dreyfus Teacher-Scholar Award
The Dreyfus Teacher-Scholar Award is a prestigious honor in the chemical sciences recognizing young faculty who have demonstrated outstanding research accomplishments and a commitment to exceptional teaching.
-
B.
Outstanding Scholar Award from the American Bar Foundation
The Outstanding Scholar Award from the American Bar Foundation is a prestigious honor recognizing exceptional scholarly contributions to the study of law and the legal profession.
-
C.
Learned Hand Medal for Excellence in Federal Jurisprudence
The Learned Hand Medal for Excellence in Federal Jurisprudence is a prestigious American legal award honoring outstanding contributions to federal law and judicial scholarship.
-
D.
Herbert Feis Award
The Herbert Feis Award is a prize given by the American Historical Association recognizing distinguished contributions to public history and the work of public historians.
-
E.
American Bar Association Medal
The American Bar Association Medal is the highest honor bestowed by the American Bar Association, recognizing exceptionally distinguished service to the cause of American jurisprudence.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1ef3040819085c8056e75571104 |
completed | April 21, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e06307408190b69d60e62b47d4c3 |
completed | May 16, 2026, 9:23 p.m. |
| NEDg | Description generation | batch_6a08e15d93ec8190bbe859fb42a4a5ac |
completed | May 16, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e25d8cb08190ba75b792aac192ab |
completed | May 16, 2026, 9:32 p.m. |
Created at: April 16, 2026, 12:31 p.m.