Triple

T23274243
Position Surface form Disambiguated ID Type / Status
Subject Skid E588371 entity
Predicate hasPart P35 FINISHED
Object The Man Who Never Was NE NERFINISHED

How this triple was built (3 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 Man Who Never Was | Statement: [Skid, hasPart, The Man Who Never Was]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Man Who Never Was
Context triple: [Skid, hasPart, The Man Who Never Was]
  • A. The Amazing Mr. Blunden
    The Amazing Mr. Blunden is a 1972 British family fantasy film, adapted from Antonia Barber’s novel "The Ghosts," in which Lynne Frederick stars in a time-traveling ghost story about children trying to prevent a past tragedy.
  • B. The Man Who Knew Too Little
    The Man Who Knew Too Little is a 1997 comedy film starring Bill Murray as an unsuspecting tourist who is mistaken for a spy during an interactive theater experience gone wrong.
  • C. The Boy Who Knew Too Much
    The Boy Who Knew Too Much is the second studio album by British singer-songwriter Mika, known for its theatrical pop sound and catchy, upbeat tracks.
  • D. The Girl That Never Was
    The Girl That Never Was is a song featured on the album "Who We Used to Be" by James Blunt.
  • E. The Man Who Came Back
    The Man Who Came Back is a 1924 American silent drama film, based on a popular stage play, about a disgraced man’s struggle for redemption.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Man Who Never Was
Target entity description: The Man Who Never Was is a 1956 British war film dramatizing the real-life World War II deception operation that used a dead body to mislead the Nazis about the Allied invasion plans.
  • A. The Amazing Mr. Blunden
    The Amazing Mr. Blunden is a 1972 British family fantasy film, adapted from Antonia Barber’s novel "The Ghosts," in which Lynne Frederick stars in a time-traveling ghost story about children trying to prevent a past tragedy.
  • B. The Man Who Knew Too Little
    The Man Who Knew Too Little is a 1997 comedy film starring Bill Murray as an unsuspecting tourist who is mistaken for a spy during an interactive theater experience gone wrong.
  • C. The Boy Who Knew Too Much
    The Boy Who Knew Too Much is the second studio album by British singer-songwriter Mika, known for its theatrical pop sound and catchy, upbeat tracks.
  • D. The Girl That Never Was
    The Girl That Never Was is a song featured on the album "Who We Used to Be" by James Blunt.
  • E. The Man Who Came Back
    The Man Who Came Back is a 1924 American silent drama film, based on a popular stage play, about a disgraced man’s struggle for redemption.
  • F. None of above. chosen

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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f195768b1c8190ae7cbf8c316ae4dd completed April 29, 2026, 5:21 a.m.
Created at: April 17, 2026, 4:47 p.m.