Triple
T20304303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge Esquivel |
E505565
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jorge Esquivel |
—
|
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: Jorge Esquivel | Statement: [Jorge Esquivel, name, Jorge Esquivel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jorge Esquivel Context triple: [Jorge Esquivel, name, Jorge Esquivel]
-
A.
Jorge Esquivel
chosen
Jorge Esquivel is a notable individual recognized for his achievements that have brought distinction to the surname Esquivel.
-
B.
Luis Esquivel
Luis Esquivel is a person notable enough to be recognized as a significant bearer of the surname Esquivel.
-
C.
Juan Esquivel
Juan Esquivel was a Mexican bandleader, composer, and arranger celebrated as a pioneer of space-age pop and stereo-era lounge music for his innovative, experimental orchestrations.
-
D.
Rodrigo De la Serna
Rodrigo De la Serna is an Argentine actor acclaimed for his roles in films like "The Motorcycle Diaries" and the series "Money Heist."
-
E.
Horacio Marquínez
Horacio Marquínez is a cinematographer known for his work on the film "L.I.E."
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773ed3248190ba949ec941e8d41f |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:17 a.m.