Triple

T4459461
Position Surface form Disambiguated ID Type / Status
Subject Marvel's Daredevil E98215 entity
Predicate protagonist P268 FINISHED
Object Matt Murdock E442996 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: Matt Murdock | Statement: [Marvel's Daredevil, protagonist, Matt Murdock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Murdock
Context triple: [Marvel's Daredevil, protagonist, Matt Murdock]
  • A. Matt Murdock chosen
    Matt Murdock is a blind lawyer from Hell’s Kitchen who fights crime as the masked vigilante Daredevil in Marvel Comics.
  • B. James Olsen
    James Olsen is a DC Comics character best known as Superman’s close friend and a photojournalist at the Daily Planet, frequently depicted as an everyman ally to the Man of Steel.
  • C. Justin Hammer
    Justin Hammer is a wealthy, unscrupulous weapons manufacturer and rival to Tony Stark in the Marvel Cinematic Universe.
  • D. Christopher Daniel Barnes
    Christopher Daniel Barnes is an American actor best known for voicing Prince Eric in Disney’s "The Little Mermaid" and Peter Parker/Spider-Man in the 1990s animated series.
  • E. Wilson Fisk
    Wilson Fisk, also known as the Kingpin, is a powerful and ruthless crime lord in Marvel Comics who often serves as a primary antagonist to heroes like Spider-Man and Daredevil.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3567184f481908a2787e4ac9bb345 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b63767f8d08190a58cc441471adf90 completed March 15, 2026, 4:36 a.m.
Created at: March 12, 2026, 11:33 p.m.