Triple

T17746174
Position Surface form Disambiguated ID Type / Status
Subject Matt Murdock E442996 entity
Predicate fullName P16 FINISHED
Object Matthew Michael Murdock 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: Matthew Michael Murdock | Statement: [Matt Murdock, fullName, Matthew Michael Murdock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Michael Murdock
Context triple: [Matt Murdock, fullName, Matthew Michael 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. Max Dillon
    Max Dillon is a Marvel Comics character who becomes the electricity-manipulating supervillain Electro and serves as one of Spider-Man’s primary adversaries.
  • C. John Drake
    John Drake is the resourceful and unflappable secret agent protagonist of the 1960s British television series "Danger Man."
  • D. Jeremiah Danvers
    Jeremiah Danvers is a character in the Arrowverse TV series "Supergirl," known as Kara Danvers' adoptive father and a former DEO scientist.
  • E. Jonathan Lowell Spencer Storm
    Jonathan Lowell Spencer Storm is the real name of Johnny Storm, the Human Torch, a founding member of Marvel Comics' superhero team the Fantastic Four.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad26940819090696c2cb86fd606 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.