Triple
T14359101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lex Diamond Story |
E356048
|
entity |
| Predicate | hasTrackList |
P66182
|
FINISHED |
| Object | multiple songs |
—
|
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: multiple songs | Statement: [The Lex Diamond Story, hasTrackList, multiple songs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrackList Context triple: [The Lex Diamond Story, hasTrackList, multiple songs]
-
A.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
B.
trackListingIncludes
chosen
Indicates that a track listing contains or features a specific track as one of its listed items.
-
C.
numberOfTracks
Indicates the quantity of tracks associated with a given entity.
-
D.
hasTrackSection
Indicates that an entity includes, is composed of, or is associated with a specific section or segment of a track.
-
E.
hasTailTracks
Indicates that an entity exhibits or leaves behind tail-shaped tracks or imprints as evidence of its movement or presence.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f52ca7881908704eef20228aed3 |
completed | April 14, 2026, 7:02 p.m. |
| PD | Predicate disambiguation | batch_69de2a9958e881909d03ac03f135163e |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:15 a.m.