Triple
T31180765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travelogue (2002 film) soundtrack |
E794886
|
entity |
| Predicate | featuresMusicFor |
P162904
|
FINISHED |
| Object | Travelogue (2002 film) |
—
|
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: Travelogue (2002 film) | Statement: [Travelogue (2002 film) soundtrack, featuresMusicFor, Travelogue (2002 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresMusicFor Context triple: [Travelogue (2002 film) soundtrack, featuresMusicFor, Travelogue (2002 film)]
-
A.
musicFeatured
chosen
Indicates that a particular piece of music is prominently included or used within another work, event, or context.
-
B.
musicMotif
Indicates a recurring musical idea, theme, or pattern that appears multiple times within a composition or across related works.
-
C.
musicBy
Indicates that a piece of music, performance, or recording is created, composed, or performed by a specified musical artist or group.
-
D.
musicMood
Indicates the emotional tone or atmosphere conveyed by a piece of music or musical performance.
-
E.
musicForGenre
Indicates that something (such as a piece, track, or work) is intended to be used as or associated with music belonging to a particular genre.
- 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a005b2e0a9c819081c6f7ccbef49ff8 |
completed | May 10, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_6a005a8bcde88190ace2bc0215e26430 |
completed | May 10, 2026, 10:14 a.m. |
Created at: April 29, 2026, 9:08 p.m.