Triple
T4854576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Globe Award for Best Motion Picture – Musical or Comedy |
E108503
|
entity |
| Predicate | selectionBodySize |
P9733
|
FINISHED |
| Object | approximately 90 HFPA members |
—
|
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: approximately 90 HFPA members | Statement: [Golden Globe Award for Best Motion Picture – Musical or Comedy, selectionBodySize, approximately 90 HFPA members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionBodySize Context triple: [Golden Globe Award for Best Motion Picture – Musical or Comedy, selectionBodySize, approximately 90 HFPA members]
-
A.
bodySize
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
-
B.
selectionCommitteeSize
chosen
Indicates the number of members that make up a given selection committee.
-
C.
sizeDefinedBy
Indicates that the size or magnitude of one entity is determined, constrained, or specified by another entity.
-
D.
cellSize
Indicates the physical dimensions or volume of a cell in a biological or computational context.
-
E.
stateSize
Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2557388190a2d15571bacd24f3 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.