Triple

T2854312
Position Surface form Disambiguated ID Type / Status
Subject Batman Returns E63163 entity
Predicate mainCharacter P1183 FINISHED
Object Catwoman E135917 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: Catwoman | Statement: [Batman Returns, mainCharacter, Catwoman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catwoman
Context triple: [Batman Returns, mainCharacter, Catwoman]
  • A. Selina Kyle chosen
    Selina Kyle is a cunning and morally ambiguous cat burglar in the Batman universe, best known by her alter ego Catwoman.
  • B. Harley Quinn
    Harley Quinn is a chaotic, acrobatic antiheroine from DC Comics known for her clown-themed appearance, unpredictable behavior, and complex relationship with the Joker.
  • C. Jessica Rabbit
    Jessica Rabbit is a sultry, red-dressed cartoon nightclub singer famed for her glamorous appearance and the iconic line, "I'm not bad, I'm just drawn that way."
  • D. Diana Prince
    Diana Prince is the Amazonian warrior princess better known as Wonder Woman, a DC Comics superhero who leaves her hidden island to protect humanity.
  • E. Batwing
    Batwing is a flying steel roller coaster at Six Flags America that suspends riders beneath the track in a prone, face-down position to simulate the sensation of flight.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5f21348190a574fa86bc71c76f completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03141ec9c8190b8163fdfc00c1ee3 completed March 10, 2026, 2:57 p.m.
Created at: March 6, 2026, 10:02 p.m.