Triple

T18523919
Position Surface form Disambiguated ID Type / Status
Subject Luis Lopez-Fitzgerald E452664 entity
Predicate familyName P18 FINISHED
Object Lopez-Fitzgerald 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: Lopez-Fitzgerald | Statement: [Luis Lopez-Fitzgerald, familyName, Lopez-Fitzgerald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lopez-Fitzgerald
Context triple: [Luis Lopez-Fitzgerald, familyName, Lopez-Fitzgerald]
  • A. Lopez-Fitzgerald chosen
    Lopez-Fitzgerald is the surname of a central working-class family featured in the American soap opera "Passions."
  • B. López-Salido
    López-Salido is a Spanish surname most notably associated with economist J. David López-Salido, known for his work in macroeconomics and monetary policy.
  • C. López
    López is a common Spanish surname widely borne across Spain and Latin America.
  • D. Lopez
    Lopez is a municipality in the province of Quezon in the Philippines, known for its agricultural economy and coastal location.
  • E. López-Gallego
    López-Gallego is a Spanish surname most notably borne by film director Gonzalo López-Gallego, known for his work in thriller and science fiction cinema.
  • 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533908b0c81908725baf828aa46ff completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.