Triple

T7354052
Position Surface form Disambiguated ID Type / Status
Subject The Girl Who Had Everything E169577 entity
Predicate starring P1507 FINISHED
Object Fernando Lamas E578107 NE FINISHED

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: [The Girl Who Had Everything, starring, Fernando Lamas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fernando Lamas
Context triple: [The Girl Who Had Everything, starring, 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. 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.
  • C. Antonio Camargo
    Antonio Camargo is a Mexican geophysicist known for co-discovering the Chicxulub impact crater linked to the mass extinction of the dinosaurs.
  • D. Francisco Rabal
    Francisco Rabal was a renowned Spanish actor known for his powerful performances in European cinema, particularly in the mid-20th century.
  • E. Fernando Rey
    Fernando Rey was a distinguished Spanish actor renowned for his sophisticated screen presence and memorable roles in European and international cinema, including collaborations with director Luis Buñuel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10e71fc81909307ca39a61142d3 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa9dfbac8190993c866cda169633 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:05 p.m.