Triple

T13054576
Position Surface form Disambiguated ID Type / Status
Subject Yellowjacket E327536 entity
Predicate otherIdentitiesOfUser P86838 FINISHED
Object Wasp E969618 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: Wasp | Statement: [Yellowjacket, otherIdentitiesOfUser, Wasp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wasp
Context triple: [Yellowjacket, otherIdentitiesOfUser, 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 chosen
    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. Avispas
    Avispas is the popular nickname of the professional baseball team from Santiago de Cuba in the Cuban National Series.
  • D. Avispa
    Avispa is a Japanese professional football club based in Fukuoka that competes in the J1 League.
  • E. Hornet
    Hornet is the stinging insect that serves as the fierce and energetic mascot for Alabama State University's athletic teams.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d98bce3678819082a7aa1d83f20592 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5ff8c308190a40274c68a1c5da3 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 8:58 p.m.