Triple

T20155064
Position Surface form Disambiguated ID Type / Status
Subject John Waters E491537 entity
Predicate notableWork P4 FINISHED
Object The Alice NE NERFINISHED

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 Alice | Statement: [John Waters, notableWork, The Alice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Alice
Context triple: [John Waters, notableWork, The Alice]
  • A. The Alice
    The Alice is a colloquial nickname for Alice Springs, a remote outback town in Australia’s Northern Territory known as a gateway to the Red Centre and Uluru.
  • B. The Alice chosen
    The Alice is an Australian television drama series co-created and written by Lizzy Gardiner, set in the outback town of Alice Springs.
  • C. 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.
  • 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. Wonderland
    Wonderland is a rapid transit station in Revere, Massachusetts, serving as the northern terminus of Boston’s MBTA Blue Line.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667df7ac081908816d2d29e7c6513 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.