Triple

T13609596
Position Surface form Disambiguated ID Type / Status
Subject Christopher Godsick E325153 entity
Predicate employer P7 FINISHED
Object Reveille Productions E223026 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: Reveille Productions | Statement: [Christopher Godsick, employer, Reveille Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reveille Productions
Context triple: [Christopher Godsick, employer, Reveille Productions]
  • A. Reveille Productions chosen
    Reveille Productions is a television production company best known for developing and producing popular series such as the U.S. version of "The Office."
  • B. Davis-Panzer Productions
    Davis-Panzer Productions is a film and television production company best known for creating and producing the Highlander franchise.
  • C. Sunflower Productions
    Sunflower Productions is a film production company known for producing the historical drama "The New World."
  • D. Albert Productions
    Albert Productions is an Australian independent record label and production company best known for discovering and nurturing rock bands such as AC/DC.
  • E. Ardent Productions
    Ardent Productions is a British television and film production company founded and run by Prince Edward, Earl of Wessex.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07f462c8190b5b5e115d550037f completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f98286c8190a866b5edc21f1225 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.