Triple
T6191539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Some Came Running |
E138400
|
entity |
| Predicate | academyAwardNominationCategoryForMacLaine |
P32504
|
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: [Some Came Running, academyAwardNominationCategoryForMacLaine, Best Actress in a Leading Role]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyAwardNominationCategoryForMacLaine Context triple: [Some Came Running, academyAwardNominationCategoryForMacLaine, Best Actress in a Leading Role]
-
A.
academyAwardNominations
Indicates that an entity has received one or more nominations for an Academy Award (Oscars).
-
B.
oscarCategoryWon
Indicates that an entity has won an Academy Award in the specified Oscar category.
-
C.
academyAwardForBestActress
Indicates that an entity received the Academy Award for Best Actress in a leading role.
-
D.
nominatedIn
chosen
Indicates that an entity has been formally put forward as a candidate for an award, position, or recognition within a specific event, context, or time period.
-
E.
isOscarCategory
Indicates that a given entity is a category or award type within the Oscars (Academy Awards) system.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0623ff0bc8190951512245a38f541 |
completed | March 22, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69c055fbce1081908805fd12e242ab96 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:19 p.m.