Triple

T6139790
Position Surface form Disambiguated ID Type / Status
Subject Michael Chapman E136930 entity
Predicate workedOn P3 FINISHED
Object The Lost Boys E196170 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: The Lost Boys | Statement: [Michael Chapman, workedOn, The Lost Boys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Lost Boys
Context triple: [Michael Chapman, workedOn, The Lost Boys]
  • A. The Lost Boys chosen
    The Lost Boys is a 1987 cult-classic horror-comedy film about teenage brothers who encounter a gang of vampires in a California beach town.
  • B. The Lost Boys
    The Lost Boys are a group of adventurous, eternally young boys who live in Neverland alongside Peter Pan in J.M. Barrie’s classic stories.
  • C. Friend of the Devil
    "Friend of the Devil" is a folk-rock song by the Grateful Dead, known for its acoustic sound, storytelling lyrics, and enduring popularity in the band’s live performances.
  • D. 30 Days of Night
    30 Days of Night is a 2007 horror film about a remote Alaskan town besieged by vampires during a month-long polar night.
  • E. Race to Witch Mountain
    Race to Witch Mountain is a 2009 Disney science-fiction adventure film about a taxi driver helping two alien siblings with supernatural powers evade government agents and uncover the secrets of their origins.
  • 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb030fc8190b78e4967eea65611 completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14173d2288190920b719e221a929c completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:15 p.m.