Triple

T21162549
Position Surface form Disambiguated ID Type / Status
Subject Transformers: Studio Series E521476 entity
Predicate includesCharacter P5716 FINISHED
Object Crosshairs 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: Crosshairs | Statement: [Transformers: Studio Series, includesCharacter, Crosshairs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crosshairs
Context triple: [Transformers: Studio Series, includesCharacter, Crosshairs]
  • A. Crosshairs
    Crosshairs is a crime thriller novel in James Patterson’s Michael Bennett series, following the New York detective as he tackles a high-stakes, fast-paced investigation.
  • B. Crosshairs chosen
    Crosshairs is an Autobot paratrooper and weapons specialist who appears as a stylish, trench coat–wearing Transformer in the film "Transformers: Age of Extinction."
  • C. Crosshair
    Crosshair is a genetically enhanced clone trooper and expert marksman in Star Wars: The Bad Batch, known for his cold precision and moral ambiguity.
  • D. Zielschuss
    Zielschuss is the famously steep and high-speed final section of Kitzbühel’s Hahnenkamm downhill ski race course, where racers reach some of their highest velocities before the finish.
  • E. Sureshot
    Sureshot is an Autobot Targetmaster from the Transformers franchise, known for his sharpshooting skills and partnership with his transforming weapon partner.
  • 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.