Triple

T21405494
Position Surface form Disambiguated ID Type / Status
Subject Deck the Halls (film) E528021 entity
Predicate writer P1360 FINISHED
Object Chris Ord 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: Chris Ord | Statement: [Deck the Halls (film), writer, Chris Ord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Ord
Context triple: [Deck the Halls (film), writer, Chris Ord]
  • A. Chris Ord chosen
    Chris Ord is a television writer and producer best known for co-creating the USA Network spy drama series "Covert Affairs."
  • B. Steve Oram
    Steve Oram is a British actor, writer, and comedian known for his work in darkly comic films such as "Sightseers" and various British television series.
  • C. John Arnatt
    John Arnatt was a British character actor known for his extensive work in film and television, including a notable role in the long-running science fiction series "Doctor Who."
  • D. Glyn Jessop
    Glyn Jessop is a former English cricketer who played at the first-class level.
  • E. Keith Critchlow
    Keith Critchlow was a British artist, geometer, and architectural theorist renowned for his work on sacred geometry and the design of religious and contemplative spaces.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1aea22881909a0cc754e417fbf3 completed April 22, 2026, 11:31 a.m.
Created at: April 16, 2026, 5:31 p.m.