Triple
T12064369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rogelio Chávez |
E287255
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rogelio Alfredo Chávez Martínez |
E287255
|
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: Rogelio Alfredo Chávez Martínez | Statement: [Rogelio Chávez, name, Rogelio Alfredo Chávez Martínez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rogelio Alfredo Chávez Martínez Context triple: [Rogelio Chávez, name, Rogelio Alfredo Chávez Martínez]
-
A.
Rogelio Chávez
chosen
Rogelio Chávez is a Mexican professional footballer known for playing as a right-back, most notably with Cruz Azul in Liga MX.
-
B.
Ricardo Chávez
Ricardo Chávez is a Mexican actor known for his work in telenovelas and film.
-
C.
Víctor Chávez
Víctor Chávez is a person notable enough to be specifically distinguished as a bearer of the surname Chávez.
-
D.
Juan Chávez
Juan Chávez is a personal name shared by multiple individuals, most commonly associated with Latin American figures in politics, sports, and public life.
-
E.
Raúl Chávez
Raúl Chávez is a former Venezuelan professional baseball catcher who played in Major League Baseball, primarily known for his defensive skills behind the plate.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90440dd988190ae2b80367aceb6f7 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f656f4f481909a1ecac3f89da374 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.