Triple

T7289061
Position Surface form Disambiguated ID Type / Status
Subject Victorious E163945 entity
Predicate composer P1361 FINISHED
Object Michael Corcoran E656805 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: Michael Corcoran | Statement: [Victorious, composer, Michael Corcoran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Corcoran
Context triple: [Victorious, composer, Michael Corcoran]
  • A. Michael Corcoran chosen
    Michael Corcoran is an American composer and music producer best known for creating theme and background music for numerous Nickelodeon television series.
  • B. Paul Corrigan
    Paul Corrigan is a television writer and producer best known for his work on popular sitcoms such as "Modern Family" and other acclaimed comedy series.
  • C. Matt Dolan
    Matt Dolan is an American politician and attorney from Ohio who serves as a Republican state legislator and is a member of the family that owns the Cleveland Guardians baseball team.
  • D. Michael Callaghan
    Michael Callaghan is one of the children of former UK Prime Minister James Callaghan.
  • E. Kevin Corrigan
    Kevin Corrigan is an American character actor known for his offbeat, often darkly comic supporting roles in numerous independent films and major studio movies.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb6bde448190b52852c916a8059d completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c845df01dc8190ac219c0bb87bd83c completed March 28, 2026, 9:19 p.m.
Created at: March 27, 2026, 3 p.m.