Triple
T7355067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N.Y.P.D. |
E169601
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | David Susskind |
E138718
|
NE FINISHED |
How this triple was built (2 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: David Susskind | Statement: [N.Y.P.D., executiveProducer, David Susskind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Susskind Context triple: [N.Y.P.D., executiveProducer, David Susskind]
-
A.
David Susskind
chosen
David Susskind was an influential American television producer and talk show host known for his socially conscious programming and pioneering work in both TV and film.
-
B.
Ralph Rosenblum
Ralph Rosenblum was an American film editor best known for his influential work on landmark comedies and dramas, including several early Woody Allen films.
-
C.
Douglas Shulman
Douglas Shulman is an American public official who served as the head of the U.S. Internal Revenue Service (IRS) during the late 2000s and early 2010s.
-
D.
Paul Hirsch
Paul Hirsch is an American film editor renowned for his work on major Hollywood films, including the original Star Wars.
-
E.
Paul Hirsch
Paul Hirsch was a German Social Democratic politician who briefly served as Minister President of Prussia during the early Weimar Republic.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f10e71fc81909307ca39a61142d3 |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7faa25960819084ecb6dbf9369ba5 |
completed | March 28, 2026, 3:58 p.m. |
Created at: March 27, 2026, 3:05 p.m.