Triple

T15445297
Position Surface form Disambiguated ID Type / Status
Subject José Contreras E370007 entity
Predicate familyName P18 FINISHED
Object Contreras
Contreras is a Spanish-language surname of Iberian origin that is borne by numerous notable individuals across the Spanish-speaking world.
E1158216 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: Contreras | Statement: [José Contreras, familyName, Contreras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Contreras
Context triple: [José Contreras, familyName, Contreras]
  • A. Calvillo
    Calvillo is a municipality in the Mexican state of Aguascalientes, known for its guava production, colonial architecture, and surrounding natural landscapes.
  • B. Ceballos
    Ceballos is a Spanish surname borne by various notable figures in politics, sports, and the arts.
  • C. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • D. Pacheco
    Pacheco is a Spanish surname borne by various notable figures in fields such as politics, arts, and sports.
  • E. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • 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: Contreras
Triple: [José Contreras, familyName, Contreras]
Generated description
Contreras is a Spanish-language surname of Iberian origin that is borne by numerous notable individuals across the Spanish-speaking world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Contreras
Target entity description: Contreras is a Spanish-language surname of Iberian origin that is borne by numerous notable individuals across the Spanish-speaking world.
  • A. Calvillo
    Calvillo is a municipality in the Mexican state of Aguascalientes, known for its guava production, colonial architecture, and surrounding natural landscapes.
  • B. Ceballos
    Ceballos is a Spanish surname borne by various notable figures in politics, sports, and the arts.
  • C. Balderas
    Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
  • D. Pacheco
    Pacheco is a Spanish surname borne by various notable figures in fields such as politics, arts, and sports.
  • E. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef666e08190a02a01a676306ab9 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21adb6b88190b573068bda223892 completed May 9, 2026, 11:59 a.m.
NEDg Description generation batch_69ff25abb8fc8190b1a6dc0b5ba8ccd7 completed May 9, 2026, 12:16 p.m.
NED2 Entity disambiguation (via description) batch_69ff262390f48190b4917926b493b16d completed May 9, 2026, 12:18 p.m.
Created at: April 10, 2026, 3:21 a.m.