Triple

T4559456
Position Surface form Disambiguated ID Type / Status
Subject Molly's Game E120556 entity
Predicate productionCompany P490 FINISHED
Object Pascal Pictures E226121 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: Pascal Pictures | Statement: [Molly's Game, productionCompany, Pascal Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pascal Pictures
Context triple: [Molly's Game, productionCompany, Pascal Pictures]
  • A. Pascal Pictures chosen
    Pascal Pictures is a film and television production company founded by producer Amy Pascal, known for backing high-profile, critically acclaimed projects.
  • B. Component Pascal
    Component Pascal is a modern, strongly typed programming language in the Oberon family, designed for component-based software development with an emphasis on safety and simplicity.
  • C. Pascal
    Pascal is the small, expressive chameleon who serves as Rapunzel’s loyal companion and confidant in Disney’s animated film "Tangled."
  • D. Pascal
    Pascal is a French surname most famously associated with Blaise Pascal, the 17th-century mathematician, physicist, inventor, and philosopher.
  • E. Pascal
    Pascal is a high-level, strongly typed procedural programming language designed by Niklaus Wirth in the late 1960s, widely used for teaching structured programming and data structuring concepts.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd582b871c8190be0b70c76d639000 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc593eaf881908a9043366230b391 completed March 20, 2026, 10:09 p.m.
Created at: March 20, 2026, 1:09 p.m.