Triple
T30990972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Paint |
E789664
|
entity |
| Predicate | popularizedByRecording |
P151388
|
FINISHED |
| Object | Linda Ronstadt |
—
|
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: Linda Ronstadt | Statement: [Old Paint, popularizedByRecording, Linda Ronstadt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularizedByRecording Context triple: [Old Paint, popularizedByRecording, Linda Ronstadt]
-
A.
popularizedByLyric
Indicates that something became widely known or gained popularity as a result of being mentioned or featured in a song’s lyrics.
-
B.
popularizedBy
Indicates that something became widely known, accepted, or fashionable as a result of the influence or actions of a particular agent.
-
C.
isPopularRecordingOf
chosen
Indicates that one entity is a widely known or frequently enjoyed version or performance of another work, such as a song or composition.
-
D.
popularizedByWork
Indicates that something became widely known, accepted, or influential as a result of a particular work (such as a book, film, or artwork).
-
E.
popularizedIn
Indicates that something became widely known, accepted, or fashionable within a particular place, time period, or context.
- 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_69f224c550b081909ddfceb0c3d03bdd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 29, 2026, 8:56 p.m.