Triple

T7830316
Position Surface form Disambiguated ID Type / Status
Subject III E181348 entity
Predicate followedBy P78 FINISHED
Object Wonderland E339877 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: Wonderland | Statement: [III, followedBy, Wonderland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wonderland
Context triple: [III, followedBy, Wonderland]
  • A. 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.
  • B. Wonderland
    Wonderland is a rapid transit station in Revere, Massachusetts, serving as the northern terminus of Boston’s MBTA Blue Line.
  • C. Wonderland
    Wonderland is a song by the British pop group Take That, known for its upbeat, anthemic style and inclusion on their 2017 album of the same name.
  • D. Wonderland chosen
    Wonderland is a whimsical, surreal fantasy realm filled with peculiar characters and illogical rules, famously explored by Alice in Lewis Carroll’s classic stories and their adaptations.
  • E. Alice in Wonderland
    "Alice in Wonderland" is a classic 1951 animated fantasy film produced by Walt Disney that adapts Lewis Carroll’s whimsical tales of a young girl’s surreal adventures in a nonsensical world.
  • 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_69ca8282ccec819083c48efb72d21cf9 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb04ac013c81909533fa348776f50c completed March 30, 2026, 11:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a854fac8190802599615a0f7bc4 completed March 31, 2026, 5:24 a.m.
Created at: March 30, 2026, 4:44 p.m.