Triple
T33295068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahogany |
E852416
|
entity |
| Predicate | themeSongRecognition |
P176463
|
FINISHED |
| Object | nominated for Academy Award for Best Original Song |
—
|
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 for Academy Award for Best Original Song | Statement: [Mahogany, themeSongRecognition, nominated for Academy Award for Best Original Song]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeSongRecognition Context triple: [Mahogany, themeSongRecognition, nominated for Academy Award for Best Original Song]
-
A.
songRecognition
Indicates that an entity identifies or acknowledges a song, typically by matching it to a known title, artist, or recording.
-
B.
genreRecognized
Indicates that a particular genre has been identified or acknowledged as applicable to an entity.
-
C.
musicMotif
Indicates a recurring musical idea, theme, or pattern that appears multiple times within a composition or across related works.
-
D.
isPopularSongFor
Indicates that a song is widely liked, well-known, or frequently chosen by a particular audience, group, or context.
-
E.
songType
Indicates the specific category or genre that a given song belongs to.
- F. None of above. chosen
Provenance (4 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_69f34966ed4c81908dc9dda82d8c7fe3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e312d7fc819094dec41810f2585d |
completed | May 3, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:33 a.m.