Triple
T15728766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Field |
E381285
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Edwin Sherin
Edwin Sherin was an American theater and television director and producer, best known for his work on the long-running TV series "Law & Order."
|
E1272792
|
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: Edwin Sherin | Statement: [Betty Field, spouse, Edwin Sherin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edwin Sherin Context triple: [Betty Field, spouse, Edwin Sherin]
-
A.
Stephen Wainger
Stephen Wainger is an American mathematician known for his contributions to harmonic analysis and related areas of analysis.
-
B.
Andrew Shulkind
Andrew Shulkind is a cinematographer known for his atmospheric and visually immersive work in genre films and television.
-
C.
Jay O. Rothman
Jay O. Rothman is an American attorney and academic leader who serves as president of the University of Wisconsin System.
-
D.
Joseph Wechsler
Joseph Wechsler was an individual of sufficient local or historical significance to be recognized as a notable burial at Mount Olivet Cemetery in Frederick, Maryland.
-
E.
Edwin Schlossberg
Edwin Schlossberg is an American designer, artist, and author known for his innovative work in interactive museum and exhibition design.
- 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: Edwin Sherin Triple: [Betty Field, spouse, Edwin Sherin]
Generated description
Edwin Sherin was an American theater and television director and producer, best known for his work on the long-running TV series "Law & Order."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edwin Sherin Target entity description: Edwin Sherin was an American theater and television director and producer, best known for his work on the long-running TV series "Law & Order."
-
A.
Stephen Wainger
Stephen Wainger is an American mathematician known for his contributions to harmonic analysis and related areas of analysis.
-
B.
Andrew Shulkind
Andrew Shulkind is a cinematographer known for his atmospheric and visually immersive work in genre films and television.
-
C.
Jay O. Rothman
Jay O. Rothman is an American attorney and academic leader who serves as president of the University of Wisconsin System.
-
D.
Joseph Wechsler
Joseph Wechsler was an individual of sufficient local or historical significance to be recognized as a notable burial at Mount Olivet Cemetery in Frederick, Maryland.
-
E.
Edwin Schlossberg
Edwin Schlossberg is an American designer, artist, and author known for his innovative work in interactive museum and exhibition design.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb4cc0081909efe330339474017 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c1e360048190a94b9ce8724cb4b7 |
completed | May 11, 2026, 11:47 a.m. |
| NEDg | Description generation | batch_6a01c60989d08190839909d7018f48f4 |
completed | May 11, 2026, 12:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01c701504c8190ad1979b65cb73336 |
completed | May 11, 2026, 12:09 p.m. |
Created at: April 10, 2026, 4:46 a.m.