Triple
T345861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Snake Pit |
E6939
|
entity |
| Predicate | academyAwardForBestSoundRecording |
P6105
|
FINISHED |
| Object | nominated |
—
|
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: nominated | Statement: [The Snake Pit, academyAwardForBestSoundRecording, nominated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyAwardForBestSoundRecording Context triple: [The Snake Pit, academyAwardForBestSoundRecording, nominated]
-
A.
soundtrackProducer
Indicates that one entity is the producer responsible for creating or overseeing the soundtrack associated with another entity (such as a film, game, or show).
-
B.
bestPictureWinner
Indicates that the subject is the film that won the Best Picture award in a given context or year.
-
C.
filmSoundtrackFor
Indicates that a particular soundtrack is created for, associated with, or used as the official musical accompaniment to a specific film.
-
D.
mostAwardsFilm
Indicates that a film is the one that has received the highest number of awards within a given set or context.
-
E.
oscarRecord
chosen
Indicates that an entity has a record or entry associated with the Oscars, such as a nomination, win, or related recognition.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb0240e88190bc70784772f5fa30 |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e95451a4819090f4e4fb9b21a493 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.