Triple
T30910218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Has No Pride |
E787425
|
entity |
| Predicate | producerOfLindaRonstadtVersion |
P193841
|
FINISHED |
| Object | Peter Asher |
—
|
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: Peter Asher | Statement: [Love Has No Pride, producerOfLindaRonstadtVersion, Peter Asher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producerOfLindaRonstadtVersion Context triple: [Love Has No Pride, producerOfLindaRonstadtVersion, Peter Asher]
-
A.
labelForLindaRonstadtVersion
Indicates that the subject is the record label associated with the Linda Ronstadt version of a particular work or recording.
-
B.
producerOfCelineDionVersion
Indicates that the subject is the producer of a specific version of a work performed or recorded by Celine Dion.
-
C.
producerOfOtisReddingVersion
Indicates the producer responsible for creating or overseeing the Otis Redding version of a particular work or recording.
-
D.
producerOfJoeCockerVersion
Indicates that one entity is the producer responsible for the Joe Cocker version of a particular work or recording in relation to another entity.
-
E.
producerOfStevieWonderVersion
Indicates that the subject is the producer responsible for the Stevie Wonder version of a particular work or recording.
- 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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
| PDg | Predicate description generation | batch_69fd57b9cdec81908536c4159e375931 |
completed | May 8, 2026, 3:25 a.m. |
Created at: April 29, 2026, 8:50 p.m.