Triple

T13384187
Position Surface form Disambiguated ID Type / Status
Subject Lego Batman E319394 entity
Predicate usesVehicle P2728 FINISHED
Object Lego Batmobile E367189 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: Lego Batmobile | Statement: [Lego Batman, usesVehicle, Lego Batmobile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lego Batmobile
Context triple: [Lego Batman, usesVehicle, Lego Batmobile]
  • A. Lego Batman
    Lego Batman is a comedic, brick-built version of DC Comics' Batman from the Lego film and video game franchises, known for his exaggerated ego and self-aware parody of the Dark Knight.
  • B. Batmobile chosen
    The Batmobile is Batman’s iconic, heavily armored high-tech car designed for crime-fighting, rapid pursuit, and urban combat in Gotham City.
  • C. Lego
    Lego is a globally popular line of interlocking plastic construction toys produced by The Lego Group, known for enabling creative building and inspiring a wide range of media, games, and themed experiences.
  • D. Brick
    Brick is a hulking, melee-focused Vault Hunter and one of the original playable protagonists in the Borderlands video game series.
  • E. Brick
    Brick is a 2005 neo-noir mystery film set in a high school, written and directed by Rian Johnson and featuring Lukas Haas in a prominent role.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268cf04c8190a35fd48ce81c149e completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.