Triple
T28964900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slave |
E732009
|
entity |
| Predicate | hasTrackSequenceContext |
P85564
|
FINISHED |
| Object | track on the album Honky Château |
—
|
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: track on the album Honky Château | Statement: [Slave, hasTrackSequenceContext, track on the album Honky Château]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrackSequenceContext Context triple: [Slave, hasTrackSequenceContext, track on the album Honky Château]
-
A.
hasTrackSequenceConcept
Indicates that one entity is associated with a conceptual representation of the ordered sequence of tracks or track elements related to it.
-
B.
hasTrackContext
chosen
Indicates that an entity is associated with or occurs within a particular track-related context (such as a specific track, route, or sequence).
-
C.
hasAlbumSequenceContext
Indicates that an album is associated with a particular position or contextual role within a sequence of albums.
-
D.
hasTrackSection
Indicates that an entity includes, is composed of, or is associated with a specific section or segment of a track.
-
E.
hasMixtapeSequenceContext
Indicates that there is contextual information defining the order or sequencing of tracks or items within a mixtape.
- 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
Created at: April 28, 2026, 8:51 a.m.