Triple
T5433576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paper Moon |
E121552
|
entity |
| Predicate | tatumONealAgeAtOscarWin |
P22884
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Paper Moon, tatumONealAgeAtOscarWin, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tatumONealAgeAtOscarWin Context triple: [Paper Moon, tatumONealAgeAtOscarWin, 10]
-
A.
numberOfAcademyAwardsForBestActress
Indicates the total count of Academy Awards received by an entity specifically in the Best Actress category.
-
B.
ageInFirstFilm
Indicates the age a person was when they appeared in their first film.
-
C.
notableYoungWinner
chosen
Indicates that the subject is recognized as a notably young recipient of a particular award or honor.
-
D.
academyAwardForBestActress
Indicates that an entity received the Academy Award for Best Actress in a leading role.
-
E.
typicalAgeOfWinner
Indicates the age that is most commonly observed for entities that win a particular competition, award, or event.
- 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.