Triple

T13595072
Position Surface form Disambiguated ID Type / Status
Subject Tales to Astonish #27 E324796 entity
Predicate inker P36861 FINISHED
Object Dick Ayers E1018907 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: Dick Ayers | Statement: [Tales to Astonish #27, inker, Dick Ayers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dick Ayers
Context triple: [Tales to Astonish #27, inker, Dick Ayers]
  • A. Dick Ayers chosen
    Dick Ayers was an American comic book artist best known for his prolific work at Marvel Comics, including long runs on titles like Sgt. Fury and his contributions to early superhero stories.
  • B. Chuck Mitchell
    Chuck Mitchell is a fictional character portrayed by actor James Pickens Jr., best known for his work on television dramas.
  • C. Chuck Mitchell
    Chuck Mitchell is an American musician and former folk singer best known for his brief marriage and early musical partnership with Joni Mitchell in the 1960s.
  • D. Don Laws
    Don Laws was a prominent American figure skating coach and former competitive skater, best known for mentoring elite athletes and contributing significantly to the sport’s development.
  • E. Bill Hayes
    Bill Hayes is an American actor and singer best known for his work on Broadway and in daytime television, particularly the soap opera "Days of Our Lives."
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8ffc508190a7bc69745c43a644 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:49 p.m.