Triple
T12158467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergio Chávez |
E289639
|
entity |
| Predicate | orthographicVariant |
P33995
|
FINISHED |
| Object | Sergio Chavez |
E289639
|
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: Sergio Chavez | Statement: [Sergio Chávez, orthographicVariant, Sergio Chavez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sergio Chavez Context triple: [Sergio Chávez, orthographicVariant, Sergio Chavez]
-
A.
Sergio Chávez
chosen
Sergio Chávez is a personal name that may refer to multiple individuals, including professionals and public figures in Spanish-speaking countries.
-
B.
Ricardo Chávez
Ricardo Chávez is a Mexican actor known for his work in telenovelas and film.
-
C.
Luis Chávez
Luis Chávez is an actor known for his role in the thriller film "While She Was Out."
-
D.
Adán Chávez
Adán Chávez is a Venezuelan politician, academic, and former ambassador, best known as the elder brother of the late president Hugo Chávez and a prominent figure in the United Socialist Party of Venezuela.
-
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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915c277e481908351bf4e664dda42 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6fef515488190957a69e1cc901d65 |
completed | May 3, 2026, 7:53 a.m. |
Created at: April 8, 2026, 9:50 p.m.