Triple
T31755517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Ratatouille (restaurant in the film’s ending) |
E810546
|
entity |
| Predicate | regularCustomer |
P91340
|
FINISHED |
| Object | Anton Ego |
—
|
NE NERFINISHED |
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: Anton Ego | Statement: [La Ratatouille (restaurant in the film’s ending), regularCustomer, Anton Ego]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regularCustomer Context triple: [La Ratatouille (restaurant in the film’s ending), regularCustomer, Anton Ego]
-
A.
frequentPatron
chosen
Indicates that one entity regularly and repeatedly visits, uses, or patronizes another entity (such as a place, service, or establishment).
-
B.
regularCategory
Indicates that a category satisfies the additional structural conditions required to be considered a “regular” category, typically involving stable image factorizations and certain pullback properties.
-
C.
customerType
Indicates the classification or category assigned to a customer based on their characteristics, status, or relationship with a business.
-
D.
traditionalUser
Indicates that a user engages with or is characterized by conventional, established, or customary practices, behaviors, or methods.
-
E.
traditionalMembership
Indicates that an entity belongs to or participates in a group, organization, or category according to long-established or customary criteria or practices.
- 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_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: April 30, 2026, 11:29 p.m.