Triple
T31755367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anyone Can Cook |
E810542
|
entity |
| Predicate | laterVindicatedBy |
P162381
|
FINISHED |
| Object | Remy’s success at Gusteau's |
—
|
LITERAL 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: Remy’s success at Gusteau's | Statement: [Anyone Can Cook, laterVindicatedBy, Remy’s success at Gusteau's]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterVindicatedBy Context triple: [Anyone Can Cook, laterVindicatedBy, Remy’s success at Gusteau's]
-
A.
laterRaised
Indicates that one entity was raised, elevated, or brought up at a time subsequent to another referenced event or state.
-
B.
exoneratedIn
chosen
Indicates that an entity has been officially cleared of blame or legal responsibility in a particular case, situation, or proceeding.
-
C.
laterRestored
Indicates that something previously altered, damaged, or removed was subsequently brought back to its earlier state or condition.
-
D.
laterRevertedTo
Indicates that a prior change, state, or condition was subsequently undone, returning the subject to its earlier form or status.
-
E.
laterRepresented
Indicates that one entity subsequently served as an official representative or agent for another entity at a later time.
- F. None of above.
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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff65987ff88190b09be64f7c0e1da9 |
completed | May 9, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69ff6525b0548190bef7a9f009e00bb8 |
completed | May 9, 2026, 4:47 p.m. |
Created at: April 30, 2026, 11:29 p.m.