Triple

T17887865
Position Surface form Disambiguated ID Type / Status
Subject Speed Force E447240 entity
Predicate notableStoryline P7331 FINISHED
Object Terminal Velocity 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: Terminal Velocity | Statement: [Speed Force, notableStoryline, Terminal Velocity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terminal Velocity
Context triple: [Speed Force, notableStoryline, Terminal Velocity]
  • A. Terminal Velocity chosen
    Terminal Velocity is a 1994 action film starring Charlie Sheen as a daredevil skydiving instructor entangled in a high-stakes conspiracy.
  • B. Free Fall
    "Free Fall" is a 1959 novel by William Golding that explores themes of free will, guilt, and the nature of human choice through the introspective narrative of an artist reflecting on his life.
  • C. Sky Diver
    "Sky Diver" is a track by the electronic music project Owl City, featured on the album "Maybe I’m Dreaming."
  • D. Freefall
    "Freefall" is a song by the American rock band BUBBA, likely showcasing their energetic style and musical identity.
  • E. Falling
    "Falling" is a popular melodic trap single by producer collective Internet Money, known for its atmospheric production and emotional, guitar-driven sound.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c14c4348190bb77712d9eae1d51 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.