Triple
T36957578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Confrontation |
E914226
|
entity |
| Predicate | hasAudioStyle |
P81859
|
FINISHED |
| Object | MIDI soundtrack |
—
|
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: MIDI soundtrack | Statement: [Confrontation, hasAudioStyle, MIDI soundtrack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAudioStyle Context triple: [Confrontation, hasAudioStyle, MIDI soundtrack]
-
A.
hasAudioFeature
Indicates that one entity possesses or is associated with a specific audio-related characteristic or property.
-
B.
audioStyle
chosen
Indicates the manner or characteristics of how audio is presented, performed, or produced in relation to an entity.
-
C.
hasOnlineAudio
Indicates that an entity is associated with audio content that is available or accessible online.
-
D.
usesAudioFrom
Indicates that one entity incorporates or relies on the audio content produced or provided by another entity.
-
E.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
- 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: May 3, 2026, 4:13 p.m.