Triple
T23137725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pink Panther (Original Motion Picture Soundtrack) |
E577365
|
entity |
| Predicate | hasKeyTrackRole |
P151052
|
FINISHED |
| Object | establishes comedic-mystery tone of the film |
—
|
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: establishes comedic-mystery tone of the film | Statement: [The Pink Panther (Original Motion Picture Soundtrack), hasKeyTrackRole, establishes comedic-mystery tone of the film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyTrackRole Context triple: [The Pink Panther (Original Motion Picture Soundtrack), hasKeyTrackRole, establishes comedic-mystery tone of the film]
-
A.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
B.
containsTrackType
Indicates that one entity includes or is associated with a specific type or category of track.
-
C.
hasTrackContext
Indicates that an entity is associated with or occurs within a particular track-related context (such as a specific track, route, or sequence).
-
D.
hasTrackStyle
Indicates that one entity (typically a track or route) is characterized by a particular style or type of track.
-
E.
hasTrackFeatures
Indicates that something possesses or is associated with specific track-related characteristics or attributes.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8d6c20819085e8c2f97bc7fd5d |
completed | April 29, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_69ef89f83b108190aaaa1db6221fc163 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4 p.m.