Triple
T5694218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Plainview |
E125495
|
entity |
| Predicate | notableAwardContext |
P16522
|
FINISHED |
| Object | performance by Daniel Day-Lewis won Academy Award for Best Actor |
—
|
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: performance by Daniel Day-Lewis won Academy Award for Best Actor | Statement: [Daniel Plainview, notableAwardContext, performance by Daniel Day-Lewis won Academy Award for Best Actor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAwardContext Context triple: [Daniel Plainview, notableAwardContext, performance by Daniel Day-Lewis won Academy Award for Best Actor]
-
A.
notableAwardWon
Indicates that an entity has received a specific notable award as a winner.
-
B.
notableAwardedFor
Indicates that an award is notable specifically for being given in recognition of a particular work, achievement, or contribution.
-
C.
notableAwardRecognition
Indicates that an entity has received or been formally recognized with a notable award or honor.
-
D.
notableAwardWork
Indicates that a work is the specific creation (e.g., book, film, artwork) for which an award or honor was given.
-
E.
awardContext
chosen
Indicates the situational or circumstantial context in which an award is given or received.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.