Triple

T7049453
Position Surface form Disambiguated ID Type / Status
Subject Love in the Afternoon E163726 entity
Predicate featuresActor P15562 FINISHED
Object John McGiver E252841 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: John McGiver | Statement: [Love in the Afternoon, featuresActor, John McGiver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John McGiver
Context triple: [Love in the Afternoon, featuresActor, John McGiver]
  • A. John McGiver chosen
    John McGiver was an American character actor known for his distinctive, pompous demeanor and precise diction in numerous films and television shows of the 1950s and 1960s.
  • B. Irwin Keyes
    Irwin Keyes was an American character actor best known for his imposing physique and roles in films and TV shows such as "The Jeffersons" and various horror and comedy movies.
  • C. Lex Murphy
    Lex Murphy is a young, tech-savvy girl who becomes one of the central child protagonists surviving the dinosaur chaos in the Jurassic Park franchise.
  • D. Jeff Pilson
    Jeff Pilson is an American bassist and producer best known for his work with the rock bands Dokken and Foreigner.
  • E. Daniel Troob
    Daniel Troob is an American orchestrator and arranger best known for his work on numerous Disney animated film scores and Broadway musicals.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e24d5e8c8190b37e56107e6da8ab completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7888bba9c8190b6414b56e5588ec0 completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:37 p.m.