Triple
T13661140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chinese Restaurant |
E326995
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Tom Cherones |
E1053940
|
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: Tom Cherones | Statement: [The Chinese Restaurant, director, Tom Cherones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Cherones Context triple: [The Chinese Restaurant, director, Tom Cherones]
-
A.
Tom Cherones
chosen
Tom Cherones is an American television director best known for directing many episodes of the hit sitcom "Seinfeld" during its early seasons.
-
B.
Gary Cherone
Gary Cherone is an American rock singer best known as the lead vocalist for Extreme and for his brief tenure fronting Van Halen.
-
C.
Phil Leotardo
Phil Leotardo is a ruthless New York mob boss and major antagonist in the television series "The Sopranos."
-
D.
Daniel Cerone
Daniel Cerone is a television writer and producer best known for his work on crime and genre series such as Dexter and Constantine.
-
E.
Matt Chesse
Matt Chesse is an American film editor known for his work on numerous feature films, including the thriller "Money Monster."
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc620df208190afaccf3ddd10aa60 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a83eddac81909376c36452bfa38b |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:52 p.m.