Triple

T10632402
Position Surface form Disambiguated ID Type / Status
Subject Robert Kincaid E250489 entity
Predicate loveInterest P7325 FINISHED
Object Francesca Johnson E285316 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: Francesca Johnson | Statement: [Robert Kincaid, loveInterest, Francesca Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francesca Johnson
Context triple: [Robert Kincaid, loveInterest, Francesca Johnson]
  • A. Francesca Johnson chosen
    Francesca Johnson is the introspective Italian-American farm wife whose brief, life-altering love affair lies at the emotional core of the romantic drama "The Bridges of Madison County."
  • B. Amaire Johnson
    Amaire Johnson is a writer known for contributing to the work "Bounce Back."
  • C. Francine Jones
    Francine Jones is a recurring character in the Doctor Who television series, best known as the mother of companion Martha Jones and for her involvement in the events surrounding the Master’s takeover of Earth.
  • D. Evangeline Johnson
    Evangeline Johnson was the wife of American film and television actor Van Johnson.
  • E. Evangeline Johnson
    Evangeline Johnson was a member of the prominent Johnson family associated with the founding of Johnson & Johnson.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df95f5e88190b34ce3ec972759ef completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69e49658b5a48190813dcf114d92be8e completed April 19, 2026, 8:46 a.m.
Created at: April 8, 2026, 9:02 p.m.