Triple
T12997701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel Evangelista |
E322081
|
entity |
| Predicate | performsCategory |
P107752
|
FINISHED |
| Object | face |
—
|
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: face | Statement: [Angel Evangelista, performsCategory, face]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performsCategory Context triple: [Angel Evangelista, performsCategory, face]
-
A.
performsAs
Indicates that one entity takes on, enacts, or fulfills the role, function, or character of another entity.
-
B.
uniformCategory
Indicates that two or more entities share the same classification or type within a defined category system.
-
C.
sampleCategory
Indicates that an item or instance belongs to, or is classified under, a particular sample category.
-
D.
matchCategory
Indicates that two or more entities belong to the same category or share an equivalent classification.
-
E.
usesCategorySystem
Indicates that one entity organizes or classifies things according to a particular category system defined by another entity.
- F. None of above. chosen
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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7980288190a9fe629a8cc76a52 |
completed | April 10, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e74283c819082e69ac3554fa7d8 |
completed | April 10, 2026, 10:49 p.m. |
Created at: April 9, 2026, 8:46 p.m.