Triple

T12197603
Position Surface form Disambiguated ID Type / Status
Subject That Mitchell and Webb Look E290628 entity
Predicate producer P490 FINISHED
Object Gareth Edwards E224771 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: Gareth Edwards | Statement: [That Mitchell and Webb Look, producer, Gareth Edwards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gareth Edwards
Context triple: [That Mitchell and Webb Look, producer, Gareth Edwards]
  • A. Gareth Edwards chosen
    Gareth Edwards is a British filmmaker known for directing large-scale science fiction and monster films such as "Monsters," "Godzilla" (2014), and "Rogue One: A Star Wars Story."
  • B. Gareth Edwards
    Gareth Edwards is a Welsh former rugby union scrum-half widely regarded as one of the greatest rugby players of all time.
  • C. Rupert Sanders
    Rupert Sanders is a British film director best known for making his feature debut with the dark fantasy film "Snow White and the Huntsman."
  • D. Travis Knight
    Travis Knight is an American animator, film director, and CEO of the stop-motion animation studio Laika, known for directing films such as "Kubo and the Two Strings."
  • E. Wes Ball
    Wes Ball is an American film director best known for helming the Maze Runner science-fiction film series.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c56b4d88190b6a32baff3375dc4 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e549e688190967c00f437a388db completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:50 p.m.