Triple

T15578595
Position Surface form Disambiguated ID Type / Status
Subject Pan (2015 film) E374433 entity
Predicate setIn P1393 FINISHED
Object Neverland E339880 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: Neverland | Statement: [Pan (2015 film), setIn, Neverland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neverland
Context triple: [Pan (2015 film), setIn, Neverland]
  • A. Neverland chosen
    Neverland is a magical, timeless island in J.M. Barrie’s Peter Pan stories, inhabited by children who never grow up, fairies, pirates, and fantastical creatures.
  • B. Return to Never Land
    Return to Never Land is a 2002 animated fantasy adventure film produced by Disney as a sequel to the classic Peter Pan, following Wendy’s daughter Jane on a new journey in Neverland.
  • C. Neverland Ranch
    Neverland Ranch was Michael Jackson’s famous California estate that combined a private home with an amusement park and zoo, symbolizing his fascination with childhood and fantasy.
  • D. Storyland
    Storyland is a film and television production company known for producing the mystery-thriller series "Wayward Pines."
  • E. Wonderland
    Wonderland is a 1999 British drama film directed by Michael Winterbottom that interweaves the lives of several Londoners over a Guy Fawkes Night weekend.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e24064c8190b132c3092877fbfa completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4b3a8881909d41204a0b243461 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.