Triple

T15411042
Position Surface form Disambiguated ID Type / Status
Subject Omar Chávez E368590 entity
Predicate name P16 FINISHED
Object Omar Chávez E368590 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: Omar Chávez | Statement: [Omar Chávez, name, Omar Chávez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omar Chávez
Context triple: [Omar Chávez, name, Omar Chávez]
  • A. Omar Chávez chosen
    Omar Chávez is a Mexican professional boxer and son of legendary world champion Julio César Chávez.
  • B. Leo Chávez
    Leo Chávez is an American anthropologist known for his influential research on immigration, citizenship, and Latino communities in the United States.
  • C. 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.
  • D. Xavier Chávez
    Xavier Chávez is an individual notable enough to be recognized as a prominent bearer of the Chávez surname.
  • E. Víctor Chávez
    Víctor Chávez is a person notable enough to be specifically distinguished as a bearer of the surname Chávez.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea600b48190a3dbca1a68a2a1cd completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfb725d48190bdca0a85ca7f440c completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 3:20 a.m.