Triple

T12306324
Position Surface form Disambiguated ID Type / Status
Subject Julio César Chávez E293360 entity
Predicate alsoKnownAs P39 FINISHED
Object JC
JC is a nickname for Julio César Chávez, the legendary Mexican professional boxer widely regarded as one of the greatest fighters in the sport’s history.
 E974100 NE FINISHED

How this triple was built (4 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: JC | Statement: [Julio César Chávez, alsoKnownAs, JC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JC
Context triple: [Julio César Chávez, alsoKnownAs, JC]
  • A. CJC
    CJC is the commonly used abbreviation for the College of Journalism and Communications, an academic institution focused on media, journalism, and communication studies.
  • B. CJC
    CJC is the IATA airport code for El Loa Airport serving the city of Calama in northern Chile.
  • C. JK
    JK is the widely used nickname of Juscelino Kubitschek, the former president of Brazil best known for founding Brasília and promoting rapid national development.
  • D. CJ
    CJ is the IATA airline designator assigned to BA CityFlyer, a British Airways subsidiary operating regional and short-haul flights, primarily from London City Airport.
  • E. JD
    The JD (Juris Doctor) is a professional graduate law degree that qualifies individuals to practice law in many jurisdictions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: JC
Triple: [Julio César Chávez, alsoKnownAs, JC]
Generated description
JC is a nickname for Julio César Chávez, the legendary Mexican professional boxer widely regarded as one of the greatest fighters in the sport’s history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JC
Target entity description: JC is a nickname for Julio César Chávez, the legendary Mexican professional boxer widely regarded as one of the greatest fighters in the sport’s history.
  • A. CJC
    CJC is the commonly used abbreviation for the College of Journalism and Communications, an academic institution focused on media, journalism, and communication studies.
  • B. CJC
    CJC is the IATA airport code for El Loa Airport serving the city of Calama in northern Chile.
  • C. JK
    JK is the widely used nickname of Juscelino Kubitschek, the former president of Brazil best known for founding Brasília and promoting rapid national development.
  • D. CJ
    CJ is the IATA airline designator assigned to BA CityFlyer, a British Airways subsidiary operating regional and short-haul flights, primarily from London City Airport.
  • E. JD
    The JD (Juris Doctor) is a professional graduate law degree that qualifies individuals to practice law in many jurisdictions.
  • F. None of above. chosen

Provenance (5 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f00695c8190b7365e4593631690 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7f8fd08190bdef3bb761d53f97 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f5cc5608190a67a888eb5136ada completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62006afcc8190b8e3b55a5fd8eaca completed May 2, 2026, 4:02 p.m.
Created at: April 8, 2026, 9:53 p.m.