Triple
T16287030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal Practice and Procedure |
E395413
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object |
Joan E. Steinman
Joan E. Steinman is a legal scholar and professor known for her expertise in federal civil procedure and her authorship of leading treatises in the field.
|
E1278672
|
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: Joan E. Steinman | Statement: [Federal Practice and Procedure, hasAuthor, Joan E. Steinman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan E. Steinman Context triple: [Federal Practice and Procedure, hasAuthor, Joan E. Steinman]
-
A.
Joan M. Tenenbaum
Joan M. Tenenbaum is a linguist and anthropologist known for her extensive documentation and analysis of the Dena’ina language and culture.
-
B.
Miriam A. Hyman
Miriam A. Hyman is an American actress known for her work in television and film, including a prominent role in the crime drama series "Power Book IV: Force."
-
C.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
D.
Roberta Seidman
Roberta Seidman is known as the spouse of Julius Garfinkle.
-
E.
Alicia Z. Rosenfeld
Alicia Z. Rosenfeld is a book editor known for her work on the inspirational Christian memoir "Miracles from Heaven."
- 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: Joan E. Steinman Triple: [Federal Practice and Procedure, hasAuthor, Joan E. Steinman]
Generated description
Joan E. Steinman is a legal scholar and professor known for her expertise in federal civil procedure and her authorship of leading treatises in the field.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joan E. Steinman Target entity description: Joan E. Steinman is a legal scholar and professor known for her expertise in federal civil procedure and her authorship of leading treatises in the field.
-
A.
Joan M. Tenenbaum
Joan M. Tenenbaum is a linguist and anthropologist known for her extensive documentation and analysis of the Dena’ina language and culture.
-
B.
Miriam A. Hyman
Miriam A. Hyman is an American actress known for her work in television and film, including a prominent role in the crime drama series "Power Book IV: Force."
-
C.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
D.
Roberta Seidman
Roberta Seidman is known as the spouse of Julius Garfinkle.
-
E.
Alicia Z. Rosenfeld
Alicia Z. Rosenfeld is a book editor known for her work on the inspirational Christian memoir "Miracles from Heaven."
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24915a5948190a11b8e83b7974dda |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01e7ff14dc819086042db64d41f5c2 |
completed | May 11, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_6a01eed32bbc81908ea9e2588e3741f8 |
completed | May 11, 2026, 2:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01ef6edb7c81908bdbf4d42dd6b9aa |
completed | May 11, 2026, 3:02 p.m. |
Created at: April 10, 2026, 5:05 a.m.