Triple

T14359526
Position Surface form Disambiguated ID Type / Status
Subject Dirty E356059 entity
Predicate hasPart P35 FINISHED
Object JC
JC is a character or component associated with the work "Dirty," likely contributing to its narrative or thematic elements.
 E1094864 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: [Dirty, hasPart, JC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JC
Context triple: [Dirty, hasPart, JC]
  • A. 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.
  • B. Jac
    Jac is the given name of Jac Holzman, the American music executive best known as the founder of Elektra Records.
  • C. CJC
    CJC is the commonly used abbreviation for the College of Journalism and Communications, an academic institution focused on media, journalism, and communication studies.
  • D. CJC
    CJC is the IATA airport code for El Loa Airport serving the city of Calama in northern Chile.
  • E. 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.
  • 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: [Dirty, hasPart, JC]
Generated description
JC is a character or component associated with the work "Dirty," likely contributing to its narrative or thematic elements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JC
Target entity description: JC is a character or component associated with the work "Dirty," likely contributing to its narrative or thematic elements.
  • A. 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.
  • B. Jac
    Jac is the given name of Jac Holzman, the American music executive best known as the founder of Elektra Records.
  • C. CJC
    CJC is the commonly used abbreviation for the College of Journalism and Communications, an academic institution focused on media, journalism, and communication studies.
  • D. CJC
    CJC is the IATA airport code for El Loa Airport serving the city of Calama in northern Chile.
  • E. 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.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f54bfb08190a27c0d12731acec2 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c48dd408190ac45ad4ca6f610c3 completed May 8, 2026, 2:36 a.m.
NEDg Description generation batch_69fd4cf6e6788190a98479ed3b615a4e completed May 8, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69fd4d6dd7c481908f53f8902ee714dd completed May 8, 2026, 2:41 a.m.
Created at: April 10, 2026, 1:15 a.m.