Triple
T4059093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Society of Film Critics Award for Best Actor |
E84764
|
entity |
| Predicate | isNonProfitRelated |
P70
|
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: [National Society of Film Critics Award for Best Actor, isNonProfitRelated, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonProfitRelated Context triple: [National Society of Film Critics Award for Best Actor, isNonProfitRelated, yes]
-
A.
isNonProfitProjectOf
Indicates that a project operates on a non-profit basis and is initiated, owned, or managed by the referenced entity.
-
B.
nonProfitContext
Indicates that the relationship or action occurs within, is associated with, or is specifically relevant to a nonprofit or charitable organizational context.
-
C.
nonprofitStatus
chosen
Indicates that an entity operates as a nonprofit organization, typically meeting legal or regulatory criteria for nonprofit status.
-
D.
nonprofitType
Indicates the specific category or classification of a nonprofit organization based on its legal or functional type.
-
E.
isPhilanthropic
Indicates that an entity habitually engages in generous actions or donations intended to promote the welfare of others.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbd13b4481908f9c09cc4f4a9724 |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef90249e4819095e9e043bc4aa9a6 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.