Triple

T4577418
Position Surface form Disambiguated ID Type / Status
Subject The Sugarland Express E123171 entity
Predicate screenwriter P2831 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: [The Sugarland Express, screenwriter, Matthew Robbins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Robbins
Context triple: [The Sugarland Express, 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 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. Matthew Arkin
    Matthew Arkin is an American actor and acting teacher, known for his work in film, television, and theater and as part of the Arkin family of performers.
  • E. Jonathan Roberts
    Jonathan Roberts is an American screenwriter best known for co-writing Disney’s animated classic "The Lion King."
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58e153908190ac8f578e03aecdfc completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69be819fa79481908b35c424bff0c939 completed March 21, 2026, 11:31 a.m.
Created at: March 20, 2026, 1:10 p.m.