Triple
T11473758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chopped |
E271973
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Michael Krupat
Michael Krupat is a television producer best known for creating the popular Food Network cooking competition series "Chopped."
|
E927445
|
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: Michael Krupat | Statement: [Chopped, creator, Michael Krupat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Krupat Context triple: [Chopped, creator, Michael Krupat]
-
A.
Michael Rachmil
Michael Rachmil is a film producer best known for his work on the 1987 romantic comedy "Roxanne" starring Steve Martin.
-
B.
Richard Leacock
Richard Leacock was a pioneering British-born documentary filmmaker and key figure in the development of cinéma vérité and direct cinema.
-
C.
Michael Salomon
Michael Salomon is an American music video director known for his work with major rock and metal acts, including directing videos for Metallica.
-
D.
Andrew Rona
Andrew Rona is an American film producer and studio executive known for his work on genre and action-thriller films.
-
E.
Michael Waldstein
Michael Waldstein is a Catholic theologian and scholar best known for his authoritative English translation and commentary on Pope John Paul II’s Theology of the Body.
- 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: Michael Krupat Triple: [Chopped, creator, Michael Krupat]
Generated description
Michael Krupat is a television producer best known for creating the popular Food Network cooking competition series "Chopped."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Krupat Target entity description: Michael Krupat is a television producer best known for creating the popular Food Network cooking competition series "Chopped."
-
A.
Michael Rachmil
Michael Rachmil is a film producer best known for his work on the 1987 romantic comedy "Roxanne" starring Steve Martin.
-
B.
Richard Leacock
Richard Leacock was a pioneering British-born documentary filmmaker and key figure in the development of cinéma vérité and direct cinema.
-
C.
Michael Salomon
Michael Salomon is an American music video director known for his work with major rock and metal acts, including directing videos for Metallica.
-
D.
Andrew Rona
Andrew Rona is an American film producer and studio executive known for his work on genre and action-thriller films.
-
E.
Michael Waldstein
Michael Waldstein is a Catholic theologian and scholar best known for his authoritative English translation and commentary on Pope John Paul II’s Theology of the Body.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294b3f388190a587c358313f7260 |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e95a479c81909a330c9721bd3902 |
completed | April 20, 2026, 8:52 a.m. |
| NEDg | Description generation | batch_69e5f15a50b881908d0930021833ae74 |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f88f16748190826a7fc5d27019d7 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:35 p.m.