Triple

T18943172
Position Surface form Disambiguated ID Type / Status
Subject Lorenzo Lamas E463438 entity
Predicate parent P120 FINISHED
Object Fernando Lamas 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: Fernando Lamas | Statement: [Lorenzo Lamas, parent, Fernando Lamas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fernando Lamas
Context triple: [Lorenzo Lamas, parent, Fernando Lamas]
  • A. Fernando Lamas chosen
    Fernando Lamas was an Argentine-American actor and director known for his suave, romantic leading roles in Hollywood films of the 1950s.
  • B. Alfredo Landa
    Alfredo Landa was a prominent Spanish film and television actor, celebrated for his versatile performances and for popularizing the "landismo" comedic style in Spanish cinema.
  • C. Mel Ferrer
    Mel Ferrer was an American actor, director, and producer known for his work in classic Hollywood films and his marriage to Audrey Hepburn.
  • D. Antonio Camargo
    Antonio Camargo is a Mexican geophysicist known for co-discovering the Chicxulub impact crater linked to the mass extinction of the dinosaurs.
  • E. Martín Ferres
    Martín Ferres is an Argentine bandoneon player best known as a core member of the neo-tango collective Bajofondo.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3ed847c8190a911a61673608a5c completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.