Triple

T12776115
Position Surface form Disambiguated ID Type / Status
Subject Francisco Alberto Caamaño E305376 entity
Predicate familyName P18 FINISHED
Object Deñó
Deñó is the family name of Francisco Alberto Caamaño, a prominent figure in Dominican Republic history.
 E1002711 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: Deñó | Statement: [Francisco Alberto Caamaño, familyName, Deñó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Deñó
Context triple: [Francisco Alberto Caamaño, familyName, Deñó]
  • A. Tamuín
    Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
  • B. Turnesa
    Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
  • C. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • D. Subeita
    Subeita is an ancient Nabataean and Byzantine desert settlement in the Negev region of Israel, known for its well-preserved ruins and role along historic trade routes.
  • E. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • 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: Deñó
Triple: [Francisco Alberto Caamaño, familyName, Deñó]
Generated description
Deñó is the family name of Francisco Alberto Caamaño, a prominent figure in Dominican Republic history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Deñó
Target entity description: Deñó is the family name of Francisco Alberto Caamaño, a prominent figure in Dominican Republic history.
  • A. Tamuín
    Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
  • B. Turnesa
    Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
  • C. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • D. Subeita
    Subeita is an ancient Nabataean and Byzantine desert settlement in the Negev region of Israel, known for its well-preserved ruins and role along historic trade routes.
  • E. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df6b3c88190b0bbe70de8ddcbf3 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684fee60c81909245d4d70c9338c0 completed May 2, 2026, 11:13 p.m.
NEDg Description generation batch_69f687ae18c08190a94dca38bb69d10f completed May 2, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_69f68884ed348190a1b2c89b1d655fa9 completed May 2, 2026, 11:28 p.m.
Created at: April 9, 2026, 5:29 p.m.