Triple
T1271479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Makeup and Hairstyling |
E15718
|
entity |
| Predicate | isConsideredMajorCategory |
P28067
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Academy Award for Best Makeup and Hairstyling, isConsideredMajorCategory, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isConsideredMajorCategory Context triple: [Academy Award for Best Makeup and Hairstyling, isConsideredMajorCategory, yes]
-
A.
isOneOfMajorCategories
Indicates that an entity belongs to a specified set of primary or top-level categories within a classification.
-
B.
hasMajorCategory
Indicates that something is associated with or classified under a primary, overarching category.
-
C.
isMajor
Indicates that an entity holds primary or greater significance, importance, or rank relative to others in a given context.
-
D.
isMajorCollectionOf
Indicates that one entity serves as the primary or most significant collection or grouping of another entity.
-
E.
hasMajorComponent
Indicates that one entity includes another entity as a primary or most significant component or part.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06ae7b88190a1e0b5232d84a7b1 |
completed | March 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69a4bede52a081909665d60acbe41d31 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bfa205ec81909d8170b398345615 |
completed | March 1, 2026, 10:37 p.m. |
Created at: March 1, 2026, 7:50 p.m.