Triple
T22946460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10th Academy Awards |
E569886
|
entity |
| Predicate | bestOriginalStoryRecipient |
P37205
|
FINISHED |
| Object | William A. Wellman |
—
|
NE NERFINISHED |
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: William A. Wellman | Statement: [10th Academy Awards, bestOriginalStoryRecipient, William A. Wellman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestOriginalStoryRecipient Context triple: [10th Academy Awards, bestOriginalStoryRecipient, William A. Wellman]
-
A.
bestWritingOriginalStoryWinner
chosen
Indicates that the subject is the winner of an award or recognition for best writing of an original story.
-
B.
bestOriginalScoreWinner
Indicates that an entity is the winner of an award for the best original musical score associated with another entity (such as a film or production).
-
C.
awardWithinFiction
Indicates that an award is given or exists within a fictional context or narrative world, rather than in real life.
-
D.
awardInStoryline
Indicates that an award is given to a character or entity within the context of a specific narrative or storyline.
-
E.
originallyAwardedTo
Indicates that something (such as a prize, title, or resource) was first granted or assigned to a particular recipient before any later changes or transfers.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819d2d7881909e6390717ff79df0 |
completed | April 29, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:46 p.m.