Triple

T6736639
Position Surface form Disambiguated ID Type / Status
Subject Manuel Urrutia Lleó E153770 entity
Predicate familyName P18 FINISHED
Object Urrutia
Urrutia is a Spanish-origin surname borne by various notable figures, including Cuban judge and former president Manuel Urrutia Lleó.
E614979 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: Urrutia | Statement: [Manuel Urrutia Lleó, familyName, Urrutia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urrutia
Context triple: [Manuel Urrutia Lleó, familyName, Urrutia]
  • A. Oteiza
    Oteiza is a Basque surname most notably associated with the Spanish sculptor and artist Jorge Oteiza.
  • B. Carabajal
    Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
  • C. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • D. Uruyén
    Uruyén is a small settlement in southeastern Venezuela, known as a gateway community for visitors exploring the Auyán-tepui plateau and Angel Falls region.
  • E. Echeverría
    Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
  • 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: Urrutia
Triple: [Manuel Urrutia Lleó, familyName, Urrutia]
Generated description
Urrutia is a Spanish-origin surname borne by various notable figures, including Cuban judge and former president Manuel Urrutia Lleó.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Urrutia
Target entity description: Urrutia is a Spanish-origin surname borne by various notable figures, including Cuban judge and former president Manuel Urrutia Lleó.
  • A. Oteiza
    Oteiza is a Basque surname most notably associated with the Spanish sculptor and artist Jorge Oteiza.
  • B. Carabajal
    Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
  • C. Ovalle
    Ovalle is a Chilean city known as an agricultural and commercial center in the north-central part of the country.
  • D. Uruyén
    Uruyén is a small settlement in southeastern Venezuela, known as a gateway community for visitors exploring the Auyán-tepui plateau and Angel Falls region.
  • E. Echeverría
    Echeverría is a Spanish-language surname borne by various notable figures in politics, literature, and the arts across the Spanish-speaking world.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d18369d88190a73349075462202b completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b09b97c8190a5a538571b6909f0 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70bda97f08190bc6dab7177341876 completed March 27, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69c70c51e0148190be64afb56690b34f completed March 27, 2026, 11:01 p.m.
Created at: March 27, 2026, 2:09 p.m.