Triple

T14120236
Position Surface form Disambiguated ID Type / Status
Subject The Lost Boys E339883 entity
Predicate setting P1957 FINISHED
Object Neverland forest 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 forest | Statement: [The Lost Boys, setting, Neverland forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neverland forest
Context triple: [The Lost Boys, setting, Neverland forest]
  • 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. 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.
  • C. Fernhill
    Fernhill is a residential neighbourhood located within the town of Rutherglen in South Lanarkshire, Scotland.
  • D. Pixie Hollow
    Pixie Hollow is a magical fairy community in Neverland, best known as the woodland home of Tinker Bell and her fellow Disney Fairies.
  • E. Truffula forest
    The Truffula forest is the colorful, whimsical woodland in Dr. Seuss’s *The Lorax* whose destruction illustrates the consequences of environmental exploitation.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de60942a588190beff0058a92f7051 completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0641008190b88efacc02ba5314 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.