Triple
T18285335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasserstein |
E437966
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Bernard Wasserstein
Bernard Wasserstein is a British historian known for his influential works on modern European and Jewish history.
|
E1319526
|
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: Bernard Wasserstein | Statement: [Wasserstein, usedBy, Bernard Wasserstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernard Wasserstein Context triple: [Wasserstein, usedBy, Bernard Wasserstein]
-
A.
Stanley Rubin
Stanley Rubin was an American film and television producer known for his work on numerous Hollywood features and TV series from the 1940s through the 1980s.
-
B.
Andrew Weill
Andrew Weill is an individual notable enough to be recognized as a namesake of the surname Weill, though specific widely known public details about him are not clearly established.
-
C.
Louis M. Silverstein
Louis M. Silverstein is a film producer known for his work on the comedy movie "Strange Brew."
-
D.
Raymond F. Kravis
Raymond F. Kravis was an American businessman and philanthropist whose support for the arts led to major cultural institutions bearing his name.
-
E.
Laurence Tisch
Laurence Tisch was an American businessman and investor best known as the co-owner of Loews Corporation and former CEO of CBS.
- 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: Bernard Wasserstein Triple: [Wasserstein, usedBy, Bernard Wasserstein]
Generated description
Bernard Wasserstein is a British historian known for his influential works on modern European and Jewish history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bernard Wasserstein Target entity description: Bernard Wasserstein is a British historian known for his influential works on modern European and Jewish history.
-
A.
Stanley Rubin
Stanley Rubin was an American film and television producer known for his work on numerous Hollywood features and TV series from the 1940s through the 1980s.
-
B.
Andrew Weill
Andrew Weill is an individual notable enough to be recognized as a namesake of the surname Weill, though specific widely known public details about him are not clearly established.
-
C.
Louis M. Silverstein
Louis M. Silverstein is a film producer known for his work on the comedy movie "Strange Brew."
-
D.
Raymond F. Kravis
Raymond F. Kravis was an American businessman and philanthropist whose support for the arts led to major cultural institutions bearing his name.
-
E.
Laurence Tisch
Laurence Tisch was an American businessman and investor best known as the co-owner of Loews Corporation and former CEO of CBS.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500f913d48190b41a1e37ca05e8b1 |
completed | April 19, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03cc1617708190a1c6afbc4ade11a2 |
completed | May 13, 2026, 12:55 a.m. |
| NEDg | Description generation | batch_6a03cd1858c481909f78fb1a4c27437c |
completed | May 13, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03ce9e3dd08190b912fe9e9f552053 |
completed | May 13, 2026, 1:06 a.m. |
Created at: April 10, 2026, 10:35 a.m.