Triple

T10722403
Position Surface form Disambiguated ID Type / Status
Subject Return of the Seven E252854 entity
Predicate stars P1956 FINISHED
Object Fernando Rey E502114 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 Rey | Statement: [Return of the Seven, stars, Fernando Rey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fernando Rey
Context triple: [Return of the Seven, stars, Fernando Rey]
  • A. Fernando Rey chosen
    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.
  • B. Francisco Rabal
    Francisco Rabal was a renowned Spanish actor known for his powerful performances in European cinema, particularly in the mid-20th century.
  • C. 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.
  • D. Sabás Marín
    Sabás Marín was a Spanish military officer and colonial administrator who served as Captain General and governor of Cuba in the late 19th century.
  • E. Fernando Lamas
    Fernando Lamas was an Argentine-American actor and director known for his suave, romantic leading roles in Hollywood films of the 1950s.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d44d0048190a78aae2357e864a5 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb738f8488190837a675b82ce75aa completed April 12, 2026, 3:16 p.m.
Created at: April 8, 2026, 9:13 p.m.