Triple

T7742017
Position Surface form Disambiguated ID Type / Status
Subject Avi Arad E175532 entity
Predicate notableWork P4 FINISHED
Object Blade (1998 film) E247089 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: Blade (1998 film) | Statement: [Avi Arad, notableWork, Blade (1998 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blade (1998 film)
Context triple: [Avi Arad, notableWork, Blade (1998 film)]
  • A. Blade (1998 film) chosen
    Blade (1998 film) is a 1998 superhero horror movie based on the Marvel Comics character, following a half-vampire warrior who hunts vampires in a dark, action-driven narrative.
  • B. Blade
    Blade is Laravel’s lightweight, PHP-based templating engine that lets developers write clean, reusable view templates with simple, expressive syntax.
  • C. Blade
    Blade is the superhero-style mascot character of the Gold Coast Titans rugby league team in Australia's National Rugby League.
  • D. Blade
    Blade is a Marvel Comics vampire hunter and half-vampire antihero known for battling supernatural threats alongside teams like the Avengers.
  • E. Blade film series
    The Blade film series is a set of action-horror movies centered on the Marvel Comics vampire hunter Blade, known for pioneering the modern wave of successful comic book adaptations in Hollywood.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70387807081909546bc7c209955ef completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be454e708190b410dada4f4f1e97 completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:07 p.m.