Triple
T10659796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augie Meyers |
E251192
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Flaco Jiménez |
E132156
|
NE FINISHED |
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: Flaco Jiménez | Statement: [Augie Meyers, associatedWith, Flaco Jiménez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flaco Jiménez Context triple: [Augie Meyers, associatedWith, Flaco Jiménez]
-
A.
Flaco Jiménez
chosen
Flaco Jiménez is a renowned Tex-Mex and conjunto accordionist celebrated for his influential collaborations across country, rock, and Latin music.
-
B.
Omar Bravo
Omar Bravo is a Mexican former professional footballer best known as a prolific forward for C.D. Guadalajara and the Mexico national team.
-
C.
Pedro Muzquiz
Pedro Muzquiz is the passionate yet conflicted love interest of Tita in Laura Esquivel’s novel "Like Water for Chocolate," whose forbidden romance drives much of the story’s emotional tension.
-
D.
Jesus Tarango
Jesus Tarango is a Native American tribal leader who serves as the chairperson of the Wilton Rancheria in California.
-
E.
Salvador Magaña
Salvador Magaña is a person notable enough to be recognized as a prominent bearer of the surname Magaña.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6e0174dc4819093e577993c65ed32 |
completed | April 8, 2026, 11:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a8375bc8190a79c09ba2626ce50 |
completed | April 10, 2026, 10:32 p.m. |
Created at: April 8, 2026, 9:07 p.m.