Triple

T17904310
Position Surface form Disambiguated ID Type / Status
Subject Andrea Arnold E447660 entity
Predicate directorOf P537 FINISHED
Object Wasp 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: Wasp | Statement: [Andrea Arnold, directorOf, Wasp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wasp
Context triple: [Andrea Arnold, directorOf, Wasp]
  • A. Wasp
    "Wasp" is a 1957 science fiction novel by Eric Frank Russell, best known for its satirical portrayal of psychological warfare and guerrilla tactics used by a single operative to destabilize an alien empire.
  • B. Wasp
    Wasp is a Marvel Comics superheroine, founding member of the Avengers, known for her size-changing powers, bio-electric stings, and influential leadership within the team.
  • C. Wasp chosen
    "Wasp" is an acclaimed 2003 British short film written and directed by Andrea Arnold, known for its gritty portrayal of a struggling single mother and for winning the Academy Award for Best Live Action Short Film.
  • D. Avispas
    Avispas is the popular nickname of the professional baseball team from Santiago de Cuba in the Cuban National Series.
  • E. Wasps
    Wasps is an ancient Greek comedy by Aristophanes that satirizes the Athenian legal system and the litigiousness of its citizens.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9a9cfc8190879fc36dfdeb562b completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.