Triple

T21141599
Position Surface form Disambiguated ID Type / Status
Subject Lisandro López E520942 entity
Predicate givenName P17 FINISHED
Object Lisandro NE NERFINISHED

How this triple was built (2 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: Lisandro | Statement: [Lisandro López, givenName, Lisandro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisandro
Context triple: [Lisandro López, givenName, Lisandro]
  • A. Lisandro chosen
    Lisandro is a central pastoral character in Miguel de Cervantes’ novel *La Galatea*, embodying the themes of love and poetic idealism typical of the work.
  • B. Diego de Losada
    Diego de Losada was a 16th-century Spanish conquistador best known for founding the city of Caracas in present-day Venezuela.
  • C. Luis Federico
    Luis Federico was an Argentine physician and biochemist who won the 1970 Nobel Prize in Chemistry for his discovery of sugar nucleotides and their role in carbohydrate biosynthesis.
  • D. Néstor
    Néstor is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
  • E. Facundo Lombard
    Facundo Lombard is an Argentine dancer, choreographer, and actor best known as one half of the Lombard Twins and for his performances in major dance films and stage productions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723f96cf081909d10309e08aeca93 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:57 p.m.