Triple

T10285224
Position Surface form Disambiguated ID Type / Status
Subject Anne of the Thousand Days E241209 entity
Predicate starring P1507 FINISHED
Object John Colicos E241628 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: John Colicos | Statement: [Anne of the Thousand Days, starring, John Colicos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Colicos
Context triple: [Anne of the Thousand Days, starring, John Colicos]
  • A. John Colicos chosen
    John Colicos was a Canadian actor best known for his powerful character roles in film and television, including iconic performances in Battlestar Galactica and Star Trek.
  • B. Joe Corallo
    Joe Corallo is a comic book writer and editor known for his work on independent and genre titles in the modern comics scene.
  • C. John Cusimano
    John Cusimano is an American lawyer, musician, and television producer best known as the longtime husband of celebrity chef and TV host Rachael Ray.
  • D. Vince Colletta
    Vince Colletta was an American comic book artist and prolific inker best known for his extensive work at Marvel Comics, particularly on titles like Thor and various Asgardian-related series.
  • E. Frank Yaconelli
    Frank Yaconelli was an Italian-American character actor and musician known for his comic supporting roles in numerous Hollywood films from the 1930s and 1940s.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b737788190bfadd0d48ad38f5b completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69e42d406e2c8190ad27f3a5276be25f completed April 19, 2026, 1:17 a.m.
Created at: April 6, 2026, 11:40 a.m.