Triple
T29790856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Private Life |
E756398
|
entity |
| Predicate | popularizedByCover |
P149365
|
FINISHED |
| Object | Grace Jones |
—
|
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: Grace Jones | Statement: [Private Life, popularizedByCover, Grace Jones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularizedByCover Context triple: [Private Life, popularizedByCover, Grace Jones]
-
A.
laterPopularizedByCovers
chosen
Indicates that a work became widely known or gained greater popularity primarily through later cover versions by other artists.
-
B.
laterPopularizedByCoversOfSong
Indicates that a song became widely known or gained greater popularity primarily through cover versions performed by other artists.
-
C.
popularizedBy
Indicates that something became widely known, accepted, or fashionable as a result of the influence or actions of a particular agent.
-
D.
popularizedIn
Indicates that something became widely known, accepted, or fashionable within a particular place, time period, or context.
-
E.
popularizedByWork
Indicates that something became widely known, accepted, or influential as a result of a particular work (such as a book, film, or artwork).
- 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_69f22451fb748190bbdbab401280affb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 29, 2026, 5:12 p.m.