Triple
T36538524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chorus |
E900651
|
entity |
| Predicate | trackListingPosition7 |
P7270
|
FINISHED |
| Object | Turns the Love to Anger |
—
|
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: Turns the Love to Anger | Statement: [Chorus, trackListingPosition7, Turns the Love to Anger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackListingPosition7 Context triple: [Chorus, trackListingPosition7, Turns the Love to Anger]
-
A.
trackListingIncludes
Indicates that a track listing contains or features a specific track as one of its listed items.
-
B.
trackNumberOnAlbum
chosen
Indicates the specific position or sequence number that a track occupies on an album.
-
C.
trackListingScheme
Indicates the organizational pattern or method used to order and present tracks within a listing.
-
D.
trackIncluded
Indicates that a particular track is contained within, or forms part of, a larger collection, release, or grouping of tracks.
-
E.
peakPositionUS
Indicates the highest chart position an item has reached in the United States.
- 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_69f76e5fbb388190b70c4c15573c8143 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:11 p.m.