Triple
T5433577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paper Moon |
E121552
|
entity |
| Predicate | tatumONealDistinction |
P22884
|
FINISHED |
| Object | youngest competitive Academy Award winner |
—
|
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: youngest competitive Academy Award winner | Statement: [Paper Moon, tatumONealDistinction, youngest competitive Academy Award winner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tatumONealDistinction Context triple: [Paper Moon, tatumONealDistinction, youngest competitive Academy Award winner]
-
A.
notableYouthAchievement
Indicates that an entity is recognized for a significant or distinguished accomplishment achieved during its youth.
-
B.
notableYoungWinner
chosen
Indicates that the subject is recognized as a notably young recipient of a particular award or honor.
-
C.
featuredActressTonyWinner
Indicates that the actress has won a Tony Award for her performance in a featured (supporting) role.
-
D.
typicalAwardedBy
Indicates the usual or standard agent (such as a person or organization) that confers or grants a particular award.
-
E.
notableAwardNominationRecipient
Indicates that an entity has been formally nominated to receive a particular notable award.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd922f66bc8190b7d47fd68d2fcf2e |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd919aeb048190b786f814177d6cd9 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:06 p.m.