Triple
T24722060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Still (song) |
E612332
|
entity |
| Predicate | hasSongwriterWithUnverifiedCredit |
P157201
|
FINISHED |
| Object | Johntá Austin |
—
|
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: Johntá Austin | Statement: [Still (song), hasSongwriterWithUnverifiedCredit, Johntá Austin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSongwriterWithUnverifiedCredit Context triple: [Still (song), hasSongwriterWithUnverifiedCredit, Johntá Austin]
-
A.
hasSongwriterCreditDispute
Indicates a relationship where there is a disagreement or conflict over who should be credited as the songwriter for a work.
-
B.
hasUnknownSongwriter
Indicates that the songwriter associated with a work is not known or has not been identified.
-
C.
hasSongwriterProducerRelationshipWith
Indicates a relationship where one entity serves as the songwriter and/or producer for another entity’s musical work.
-
D.
hasSongwriterOccupation
Indicates that an entity’s occupation or professional role is that of a songwriter.
-
E.
creditedSongwritersOfSampledWork
Indicates that the related entities are the songwriters who received official credit for the original work that was sampled in another piece of music.
- 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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f422add8508190a76e56cfa756eeb8 |
completed | May 1, 2026, 3:49 a.m. |
Created at: April 18, 2026, 3:41 a.m.