Triple
T31755353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anyone Can Cook |
E810542
|
entity |
| Predicate | associatedRestaurant |
P4442
|
FINISHED |
| Object | Gusteau's |
E232247
|
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: Gusteau's | Statement: [Anyone Can Cook, associatedRestaurant, Gusteau's]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedRestaurant Context triple: [Anyone Can Cook, associatedRestaurant, Gusteau's]
-
A.
rivalRestaurantOf
Indicates that one restaurant competes with another restaurant in the same market or customer base.
-
B.
alsoEats
Indicates that an entity consumes something in addition to another item or items it already eats.
-
C.
restaurantName
Indicates the name assigned to a restaurant as its identifying label.
-
D.
hasRestaurant
chosen
Indicates that one entity possesses, operates, or contains a restaurant associated with it.
-
E.
hasRestaurantType
Indicates that an entity is associated with or classified as a particular type or category of restaurant.
- F. None of above.
Provenance (4 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_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2e7fc8e138819081d86be71a87155d |
completed | June 14, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:29 p.m.