Triple

T21944477
Position Surface form Disambiguated ID Type / Status
Subject 7 Khoon Maaf E541900 entity
Predicate screenwriter P2831 FINISHED
Object Matthew Robbins 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: Matthew Robbins | Statement: [7 Khoon Maaf, screenwriter, Matthew Robbins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Robbins
Context triple: [7 Khoon Maaf, screenwriter, Matthew Robbins]
  • A. Matthew Robbins chosen
    Matthew Robbins is an American screenwriter and filmmaker known for his work on genre films such as Crimson Peak, Dragonslayer, and collaborations with directors like Guillermo del Toro.
  • B. Matthew Robinson
    Matthew Robinson was an 18th-century English writer and politician, best known as the son of the prominent Bluestocking intellectual Elizabeth Montagu.
  • C. Matthew Robinson
    Matthew Robinson is a filmmaker and screenwriter best known for co-writing and co-directing the satirical comedy film "The Invention of Lying."
  • D. Matthew Robinson
    Matthew Robinson is a screenwriter known for co-writing the live-action adventure comedy film "Dora and the Lost City of Gold."
  • E. Matthew Robinson
    Matthew Robinson is a British television director best known for his work on the long-running science fiction series Doctor Who.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242688988190a7b8f033c49368de completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.