Triple
T9617197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auguste Gusteau |
E232246
|
entity |
| Predicate | awardInUniverse |
P55366
|
FINISHED |
| Object | multiple Michelin stars (fictional) |
—
|
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: multiple Michelin stars (fictional) | Statement: [Auguste Gusteau, awardInUniverse, multiple Michelin stars (fictional)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardInUniverse Context triple: [Auguste Gusteau, awardInUniverse, multiple Michelin stars (fictional)]
-
A.
awardInStoryline
Indicates that an award is given to a character or entity within the context of a specific narrative or storyline.
-
B.
awardReceivedByCastMember
Indicates that a specific award was received by a member of a production’s cast.
-
C.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
-
D.
awardedInUniverse
chosen
Indicates that an award or honor is given within the context or setting of a particular fictional or defined universe.
-
E.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9aaf3a088190a00a7750c25b6c42 |
completed | April 1, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:09 p.m.