Triple

T4197873
Position Surface form Disambiguated ID Type / Status
Subject Thomas Sharpe E85996 entity
Predicate creator P184 FINISHED
Object Matthew Robbins E214916 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: Matthew Robbins | Statement: [Thomas Sharpe, creator, Matthew Robbins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Robbins
Context triple: [Thomas Sharpe, creator, 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 Aldrich
    Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
  • C. Christian Ross
    Christian Ross was the wife of Scottish poet Allan Ramsay, known primarily through her connection to the influential 18th-century literary figure.
  • D. Jonathan Roberts
    Jonathan Roberts is an American screenwriter best known for co-writing Disney’s animated classic "The Lion King."
  • E. Michael Russell
    Michael Russell is a Scottish National Party politician who has held senior roles in the Scottish Government, including responsibility for constitutional and external affairs.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0360bc8081908ceb2483eef89174 completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4d8f9008190863a10e6d3fb0159 completed March 14, 2026, 10:44 p.m.
Created at: March 9, 2026, 3:48 p.m.