Triple
T11473793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chopped |
E271973
|
entity |
| Predicate | notableJudge |
P28256
|
FINISHED |
| Object | Geoffrey Zakarian |
E927442
|
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: Geoffrey Zakarian | Statement: [Chopped, notableJudge, Geoffrey Zakarian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoffrey Zakarian Context triple: [Chopped, notableJudge, Geoffrey Zakarian]
-
A.
Geoffrey Zakarian
chosen
Geoffrey Zakarian is an American chef, restaurateur, and television personality known for his refined, modern American cuisine and frequent appearances on Food Network.
-
B.
Daniel Dines
Daniel Dines is a Romanian entrepreneur best known as the co-founder and CEO of UiPath, a leading global robotic process automation (RPA) company.
-
C.
Ian Fried
Ian Fried is a screenwriter best known for penning the supernatural thriller film "Spectral."
-
D.
Michael Gunton
Michael Gunton is a British television producer best known for his work on major BBC natural history series such as Planet Earth II and Dynasties.
-
E.
Michael Chernus
Michael Chernus is an American actor known for his character roles in film, television, and theater, including appearances in projects like "Orange Is the New Black" and various independent films.
- 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_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_69e6042507c4819096afc2839fda186d |
completed | April 20, 2026, 10:47 a.m. |
Created at: April 8, 2026, 9:35 p.m.