Triple
T10212283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1935 Oscars |
E242357
|
entity |
| Predicate | topFiveCategory |
P10762
|
FINISHED |
| Object | Best Picture |
—
|
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: Best Picture | Statement: [1935 Oscars, topFiveCategory, Best Picture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topFiveCategory Context triple: [1935 Oscars, topFiveCategory, Best Picture]
-
A.
rankingCategory
chosen
Indicates the classification or type of ranking under which an entity is evaluated or ordered.
-
B.
highestCategory
Indicates that the related entity is the topmost or most specific category to which another entity is ultimately classified or assigned.
-
C.
coreCategory
Indicates that one entity is the primary or fundamental category to which another entity belongs or is classified under.
-
D.
agingCategory
Indicates the classification of an entity based on its stage or degree of aging.
-
E.
nationalTopRank
Indicates that an entity holds the highest rank or leading position at the national level within a specified domain or category.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa23bce881909b5deac612ec22cb |
completed | April 6, 2026, 12:42 p.m. |
| PD | Predicate disambiguation | batch_69d39559e5ac8190b88eca75956b7e6a |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 11:02 a.m.