Triple
T11800506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Chávez |
E280610
|
entity |
| Predicate | alternativeSpelling |
P457
|
FINISHED |
| Object | Juan Chavez |
E280610
|
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: Juan Chavez | Statement: [Juan Chávez, alternativeSpelling, Juan Chavez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Chavez Context triple: [Juan Chávez, alternativeSpelling, Juan Chavez]
-
A.
Juan Chávez
chosen
Juan Chávez is a personal name shared by multiple individuals, most commonly associated with Latin American figures in politics, sports, and public life.
-
B.
Omar Chávez
Omar Chávez is a Mexican professional boxer and son of legendary world champion Julio César Chávez.
-
C.
Leo Chávez
Leo Chávez is an American anthropologist known for his influential research on immigration, citizenship, and Latino communities in the United States.
-
D.
Jose Chavez
Jose Chavez is a personal name that may refer to multiple individuals, commonly of Hispanic origin, across various fields such as politics, sports, and the arts.
-
E.
Julian Chavez
Julian Chavez was a 19th-century Los Angeles city councilman and landowner whose name was given to the area later known as Chavez Ravine.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a4512c8190b7782e1dee053000 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f13129fa608190b080dc27f8bd7803 |
completed | April 28, 2026, 10:14 p.m. |
Created at: April 8, 2026, 9:42 p.m.