Triple

T14281026
Position Surface form Disambiguated ID Type / Status
Subject João Chagas E354046 entity
Predicate familyName P18 FINISHED
Object Chagas
Chagas is a Portuguese-language surname most notably associated with Brazilian physician Carlos Chagas, who discovered Chagas disease.
E1089047 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: Chagas | Statement: [João Chagas, familyName, Chagas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chagas
Context triple: [João Chagas, familyName, Chagas]
  • A. Surra
    Surra is a residential district in Kuwait City known for its central location and mix of housing, schools, and local services.
  • B. Chengue
    Chengue is an archaeological site in Colombia associated with the pre-Columbian Tairona culture, known for its stone terraces and evidence of complex indigenous settlement.
  • C. Feve
    Feve is a Spanish narrow-gauge railway brand that operates regional and commuter train services, now integrated under Renfe.
  • D. Nemocón
    Nemocón is a Colombian town in the department of Cundinamarca, best known for its historic underground salt mine and scenic Andean surroundings.
  • E. Ricketts
    Ricketts is a surname of English origin borne by various notable individuals across fields such as religion, science, and the arts.
  • 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: Chagas
Triple: [João Chagas, familyName, Chagas]
Generated description
Chagas is a Portuguese-language surname most notably associated with Brazilian physician Carlos Chagas, who discovered Chagas disease.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chagas
Target entity description: Chagas is a Portuguese-language surname most notably associated with Brazilian physician Carlos Chagas, who discovered Chagas disease.
  • A. Surra
    Surra is a residential district in Kuwait City known for its central location and mix of housing, schools, and local services.
  • B. Chengue
    Chengue is an archaeological site in Colombia associated with the pre-Columbian Tairona culture, known for its stone terraces and evidence of complex indigenous settlement.
  • C. Feve
    Feve is a Spanish narrow-gauge railway brand that operates regional and commuter train services, now integrated under Renfe.
  • D. Nemocón
    Nemocón is a Colombian town in the department of Cundinamarca, best known for its historic underground salt mine and scenic Andean surroundings.
  • E. Ricketts
    Ricketts is a surname of English origin borne by various notable individuals across fields such as religion, science, and the arts.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697b5e8081908e5b91a3a1c55df9 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32719ecc8190b57aad5197521359 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd333b49a88190834a5f45fa0fc6c2 completed May 8, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd33bdc8d08190be11f5ccf259cd6a completed May 8, 2026, 12:52 a.m.
Created at: April 10, 2026, 1:10 a.m.