Triple

T17886925
Position Surface form Disambiguated ID Type / Status
Subject Hourman E447221 entity
Predicate legacyCharacter P12208 FINISHED
Object Matthew Tyler 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 Tyler | Statement: [Hourman, legacyCharacter, Matthew Tyler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Tyler
Context triple: [Hourman, legacyCharacter, Matthew Tyler]
  • A. Matthew Tyler chosen
    Matthew Tyler is a DC Comics character who serves as a futuristic android incarnation of the superhero Hourman, possessing time-manipulation abilities.
  • B. Matthew Tyler Murphy
    Matthew Tyler Murphy, better known as Matt "Guitar" Murphy, was an American blues guitarist renowned for his work with the Blues Brothers and numerous Chicago blues legends.
  • C. Matthew Stuecken
    Matthew Stuecken is a film screenwriter best known for co-writing the psychological sci-fi thriller "10 Cloverfield Lane."
  • D. Jake Tyler
    Jake Tyler is the hot-headed high school athlete who becomes an underground mixed martial arts fighter and central protagonist in the action film "Never Back Down."
  • E. Matthew Barrett
    Matthew Barrett is an Irish cardiologist best known as the long-term partner of former Taoiseach and current Tánaiste Leo Varadkar.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c13bd288190a0302010ba4d0532 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.