Triple

T15063979
Position Surface form Disambiguated ID Type / Status
Subject The Babysitter E379707 entity
Predicate mainCharacter P1183 FINISHED
Object Bee E810297 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: Bee | Statement: [The Babysitter, mainCharacter, Bee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bee
Context triple: [The Babysitter, mainCharacter, Bee]
  • A. Bee
    Bee is a common English surname shared by various individuals, including the comedian and television host Samantha Bee.
  • B. the Bee
    The Bee is a former name meaning associated with the genus Musca, historically used to denote a bee-like characteristic or identity.
  • C. 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.
  • D. 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.
  • E. Bees chosen
    Bees are flying social insects known for living in colonies, pollinating flowering plants, and producing honey and beeswax.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee803ac81908bb7d66e49c2eb72 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5c8b3ac8190b8fc921b6e6eeed5 completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.