Triple
T26595728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel Infante |
E667483
|
entity |
| Predicate | workPopularizedBy |
P4586
|
FINISHED |
| Object | José Iturbi |
—
|
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: José Iturbi | Statement: [Manuel Infante, workPopularizedBy, José Iturbi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workPopularizedBy Context triple: [Manuel Infante, workPopularizedBy, José Iturbi]
-
A.
popularizedBy
chosen
Indicates that something became widely known, accepted, or fashionable as a result of the influence or actions of a particular agent.
-
B.
popularizedIn
Indicates that something became widely known, accepted, or fashionable within a particular place, time period, or context.
-
C.
popularizedByWork
Indicates that something became widely known, accepted, or influential as a result of a particular work (such as a book, film, or artwork).
-
D.
cultPopularFrom
Indicates that something has gained or exhibits cult popularity originating from a particular source, context, or group.
-
E.
popularizedAfter
Indicates that one entity became widely known, accepted, or influential only after another specified entity had already gained popularity.
- 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_69ee9cfc385081909ac9ae178030a06e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 2:10 a.m.