Triple
T31051010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come Back, Little Sheba (1952 film) |
E791262
|
entity |
| Predicate | oscarWinningCategory |
P37391
|
FINISHED |
| Object | Best Actress in a Leading Role |
—
|
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: Best Actress in a Leading Role | Statement: [Come Back, Little Sheba (1952 film), oscarWinningCategory, Best Actress in a Leading Role]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oscarWinningCategory Context triple: [Come Back, Little Sheba (1952 film), oscarWinningCategory, Best Actress in a Leading Role]
-
A.
isOscarCategory
Indicates that a given entity is a category or award type within the Oscars (Academy Awards) system.
-
B.
oscarCategoryWon
chosen
Indicates that an entity has won an Academy Award in the specified Oscar category.
-
C.
oscarAward
Indicates that an entity has received or been honored with an Academy Award (Oscar).
-
D.
notableAwardCategory
Indicates that an award is recognized as a significant or distinguished category within a broader system of awards.
-
E.
bestPictureWinner
Indicates that the subject is the film that won the Best Picture award in a given context or year.
- 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_69f224cb08908190ba71ad9aa87518ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953fc4548190bdc28781c6613599 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
Created at: April 29, 2026, 9 p.m.