Triple
T19355608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Irby |
E484135
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Piñero |
—
|
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: Piñero | Statement: [Michael Irby, notableWork, Piñero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piñero Context triple: [Michael Irby, notableWork, Piñero]
-
A.
Piñero
Piñero is a small town in the Rosario Department of Santa Fe Province, Argentina.
-
B.
Piñero
chosen
Piñero is a 2001 biographical drama film in which Benjamin Bratt portrays the life and turbulent career of Nuyorican poet and playwright Miguel Piñero.
-
C.
Peña Canto
Peña Canto is a prominent summit that forms the highest elevation in the Montes Torozos range of Spain’s Castile and León region.
-
D.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
-
E.
Del Valle
Del Valle is a centrally located, middle- to upper-class residential and commercial neighborhood in Mexico City known for its quiet streets, parks, and urban amenities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61908920c8190833051e30ad2420c |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.