Triple

T15078063
Position Surface form Disambiguated ID Type / Status
Subject Suzan Farmer E380058 entity
Predicate appearedIn P795 FINISHED
Object The Saint E378032 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: The Saint | Statement: [Suzan Farmer, appearedIn, The Saint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Saint
Context triple: [Suzan Farmer, appearedIn, The Saint]
  • A. The Saint chosen
    The Saint is a British mystery spy thriller television series, based on Leslie Charteris's character Simon Templar, that originally aired in the 1960s and starred Roger Moore as a suave, Robin Hood–like adventurer.
  • B. The Saint
    The Saint is one of the short stories in Gabriel García Márquez’s collection "Strange Pilgrims," exploring themes of faith, miracles, and human vulnerability.
  • C. The Saint
    The Saint is a 1997 action thriller film starring Val Kilmer as a master thief and master of disguise, loosely based on the classic character created by Leslie Charteris.
  • D. The Saint Takes Over
    The Saint Takes Over is a 1940 crime mystery film in the long-running "Saint" series, featuring the suave adventurer Simon Templar as he investigates corruption and murder.
  • E. Saint of Circumstance
    "Saint of Circumstance" is a song by the Grateful Dead, known for its upbeat, improvisational live performances and reflective lyrics.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fe5a208190823900b25e298dab completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea5d4f6a48190aeb42341b0c395a7 completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:03 a.m.