Triple

T12232004
Position Surface form Disambiguated ID Type / Status
Subject Blade E291496 entity
Predicate affiliation P10 FINISHED
Object Heroes for Hire E291509 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: Heroes for Hire | Statement: [Blade, affiliation, Heroes for Hire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heroes for Hire
Context triple: [Blade, affiliation, Heroes for Hire]
  • A. Heroes for Hire chosen
    Heroes for Hire is a Marvel Comics superhero team that operates as a for-profit crime-fighting and protection agency, often featuring street-level heroes like Luke Cage and Iron Fist.
  • B. Heroes for Sale
    Heroes for Sale is a 1933 American pre-Code drama film that follows a World War I veteran’s struggles with addiction, unemployment, and social injustice during the Great Depression.
  • C. The Vigilante
    The Vigilante is a 1947 American crime film noir in which Grant Withers appears, centered on a masked crime-fighter battling underworld corruption.
  • D. Los Héroes
    Los Héroes is a major Santiago Metro station and transfer hub in Chile’s capital city.
  • E. The Hero Next Door
    The Hero Next Door is a children's book by Sharon Robinson that explores themes of courage, community, and everyday acts of heroism.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca45bd48190b8b7f6b29b6bb25b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6345e63dc81908f711dfb6d3b5a1f completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:51 p.m.