Triple

T16457008
Position Surface form Disambiguated ID Type / Status
Subject Pay It Forward E399708 entity
Predicate cinematographyBy P1953 FINISHED
Object Oliver Stapleton E322791 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: Oliver Stapleton | Statement: [Pay It Forward, cinematographyBy, Oliver Stapleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oliver Stapleton
Context triple: [Pay It Forward, cinematographyBy, Oliver Stapleton]
  • A. Oliver Stapleton chosen
    Oliver Stapleton is a British cinematographer known for his versatile work across acclaimed films in both independent and mainstream cinema.
  • B. Oliver Lacon
    Oliver Lacon is a senior British intelligence bureaucrat in John le Carré’s George Smiley novels, serving as a high-ranking civil servant overseeing the Secret Service.
  • C. Oliver Wallace
    Oliver Wallace was a British-born American composer and conductor best known for scoring numerous classic Disney animated films in the mid-20th century.
  • D. Oliver Martin
    Oliver Martin is the romantic lead in the film "A Lot Like Love," whose evolving relationship with Emily over several years forms the heart of the story.
  • E. Oliver Lambert
    Oliver Lambert is the protagonist of the legal thriller "The Firm," around whom the story’s central conflicts and developments revolve.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7dfd188190b03e9b4151a4d3d8 completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5015a881908447b64b699feb1a completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:10 a.m.