Triple

T21162317
Position Surface form Disambiguated ID Type / Status
Subject Scavenger E521471 entity
Predicate teamMemberWith P73984 FINISHED
Object Mixmaster 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: Mixmaster | Statement: [Scavenger, teamMemberWith, Mixmaster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mixmaster
Context triple: [Scavenger, teamMemberWith, Mixmaster]
  • A. Mixmaster chosen
    Mixmaster is a Decepticon Constructicon from the Transformers franchise who serves as the cement mixer component of the giant combiner robot Devastator.
  • B. Kasner
    Kasner is the birth surname of former German chancellor Angela Merkel, reflecting her family name before marriage.
  • C. The Big Bounce
    The Big Bounce is a 2004 crime-comedy film based on an Elmore Leonard novel, starring Owen Wilson as a small-time crook drawn into a laid-back Hawaiian caper.
  • D. The Big Bounce
    The Big Bounce is a 1969 crime novel by Elmore Leonard, later adapted into feature films, that follows a small-time crook drawn into a dangerous scheme in a beach-town setting.
  • E. Mindwarp
    Mindwarp is a four-part serial from the classic British science fiction series Doctor Who, featuring the Sixth Doctor in a dark, morally complex adventure on the planet Thoros Beta.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72532e9348190ad37fe858843d0f5 completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:59 p.m.