Triple
T4026438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rain Man (1988 film) score |
E83600
|
entity |
| Predicate | linkedToAwardContext |
P16522
|
FINISHED |
| Object | Rain Man winning the Academy Award for 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: Rain Man winning the Academy Award for Best Picture | Statement: [Rain Man (1988 film) score, linkedToAwardContext, Rain Man winning the Academy Award for Best Picture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToAwardContext Context triple: [Rain Man (1988 film) score, linkedToAwardContext, Rain Man winning the Academy Award for Best Picture]
-
A.
awardContext
chosen
Indicates the situational or circumstantial context in which an award is given or received.
-
B.
relatedAward
Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
-
C.
prizeContext
Indicates the situational or contextual circumstances under which a prize is awarded, considered, or relevant.
-
D.
hasRelativeWithAward
Indicates that one entity has a relative who has received an award.
-
E.
canBeAwardedTo
Indicates that something is eligible to receive or be granted a particular award, honor, or recognition.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaed37e48190844032e7e77163e0 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.