Triple

T9997050
Position Surface form Disambiguated ID Type / Status
Subject Try Everything E197226 entity
Predicate fictionalPerformerInFilm P62476 FINISHED
Object Gazelle E253264 NE FINISHED

How this triple was built (3 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: Gazelle | Statement: [Try Everything, fictionalPerformerInFilm, Gazelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gazelle
Context triple: [Try Everything, fictionalPerformerInFilm, Gazelle]
  • A. Gazelle chosen
    Gazelle is a lethal, acrobatic assassin from the Kingsman film series, recognizable for her bladed prosthetic legs and role as Richmond Valentine’s chief enforcer.
  • B. Gazelle
    The Gazelle is a light, fast, and highly maneuverable French-designed military helicopter widely used for reconnaissance, light attack, and training missions.
  • C. GAZelle
    GAZelle is a popular line of light commercial vehicles produced by the Russian manufacturer GAZ Group, widely used for cargo and passenger transport.
  • D. Gazella
    Gazella is a genus of small, swift antelopes commonly known as gazelles, native to arid and semi-arid regions of Africa and Asia.
  • E. Thomson's gazelle
    Thomson's gazelle is a small, swift African antelope known for its distinctive black side stripe and agility on the open savannas of East Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalPerformerInFilm
Context triple: [Try Everything, fictionalPerformerInFilm, Gazelle]
  • A. hasFictionalPerformer chosen
    Indicates that an entity is associated with a performer who is a fictional or imaginary character rather than a real person.
  • B. hasFictionalRole
    Indicates that an entity plays or is assigned a specific role within a fictional work or narrative.
  • C. fictionalCharacter
    Indicates that one entity is a fictional character that appears within the narrative world of another entity (such as a work, series, or franchise).
  • D. characterPerformer
    Indicates that a performer portrays or voices a particular character in a work.
  • E. madeFamousByFilm
    Indicates that something became widely known or gained significant public recognition as a result of being featured in a film.
  • F. None of above.

Provenance (4 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8aa1a881909879a694496f11a5 completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a0034ec8190bd0a2a368441e44f completed April 5, 2026, 5:21 p.m.
PD Predicate disambiguation batch_69cd1da07db88190945bcdab3ca82e71 completed April 1, 2026, 1:29 p.m.
Created at: March 30, 2026, 8:51 p.m.