Triple

T22957249
Position Surface form Disambiguated ID Type / Status
Subject Leslie Dixon E570792 entity
Predicate wroteScreenplayFor P15305 FINISHED
Object Pay It Forward 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: Pay It Forward | Statement: [Leslie Dixon, wroteScreenplayFor, Pay It Forward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pay It Forward
Context triple: [Leslie Dixon, wroteScreenplayFor, Pay It Forward]
  • A. Pay It Forward chosen
    Pay It Forward is a 2000 drama film about a young boy who starts a movement of altruistic acts, starring Kevin Spacey, Helen Hunt, and Haley Joel Osment.
  • B. Happy to Give
    "Happy to Give" is a song featured on Journey's 1986 album "Raised on Radio."
  • C. Random Acts of Happiness
    Random Acts of Happiness is a music album by the jazz fusion band Earthworks, showcasing their inventive blend of jazz, rock, and experimental sounds.
  • D. Perfect Charity
    Perfect Charity is the official English title of the Second Vatican Council decree *Perfectae Caritatis* on the renewal and adaptation of religious life in the Catholic Church.
  • E. Give and Take
    Give and Take is a bestselling nonfiction book by organizational psychologist Adam Grant that explores how different interaction styles—giving, taking, and matching—shape success in work and life.
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f21e588190a5a88a15c1b55dea completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.