Triple
T24596988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Supporting Actor for Lust for Life |
E608703
|
entity |
| Predicate | roleAwardedFor |
P106705
|
FINISHED |
| Object | Paul Gauguin |
—
|
NE NERFINISHED |
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: Paul Gauguin | Statement: [Academy Award for Best Supporting Actor for Lust for Life, roleAwardedFor, Paul Gauguin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAwardedFor Context triple: [Academy Award for Best Supporting Actor for Lust for Life, roleAwardedFor, Paul Gauguin]
-
A.
memberAwardedFor
Indicates that a member received an award specifically in recognition of a particular achievement, contribution, or reason.
-
B.
hasAwarderRole
Indicates that an entity serves in the role or capacity of granting or conferring an award to another entity.
-
C.
awardingOrganizationRole
Indicates that an entity holds a specific role or capacity within the organization that grants or confers an award.
-
D.
holderAwardedFor
chosen
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
-
E.
credentialAwardedBy
Indicates that a particular credential is granted or conferred by a specific awarding organization or authority.
- 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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:30 a.m.