Triple

T15709265
Position Surface form Disambiguated ID Type / Status
Subject Alexis Dziena E380792 entity
Predicate notableWork P4 FINISHED
Object Wonderland E681581 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: [Alexis Dziena, notableWork, Wonderland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wonderland
Context triple: [Alexis Dziena, notableWork, Wonderland]
  • A. Wonderland
    Wonderland is a rapid transit station in Revere, Massachusetts, serving as the northern terminus of Boston’s MBTA Blue Line.
  • B. 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.
  • C. Wonderland chosen
    Wonderland is a 1999 British drama film directed by Michael Winterbottom that interweaves the lives of several Londoners over a Guy Fawkes Night weekend.
  • D. Wonderland
    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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8d8b648190842c635f2ae7bfa4 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757b7e0c81909b32aecc093c93e4 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.