Triple

T15334319
Position Surface form Disambiguated ID Type / Status
Subject Theresa Russell E366622 entity
Predicate child P120 FINISHED
Object Max Roeg E594421 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: Max Roeg | Statement: [Theresa Russell, child, Max Roeg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Roeg
Context triple: [Theresa Russell, child, Max Roeg]
  • A. Monte Hellman
    Monte Hellman was an American film director and producer best known for his influential low-budget cult classics, including the road movie "Two-Lane Blacktop."
  • B. Nicolas Roeg chosen
    Nicolas Roeg was a British film director and cinematographer known for his visually innovative, non-linear storytelling in films such as "Don't Look Now" and "The Man Who Fell to Earth."
  • C. Volker Schlöndorff
    Volker Schlöndorff is an acclaimed German film director and screenwriter, known for his influential adaptations of literary works and for winning the Palme d'Or and an Academy Award for "The Tin Drum."
  • D. Russ Meyer
    Russ Meyer was an American filmmaker best known for his low-budget, sexploitation cult films featuring satirical humor and voluptuous female leads.
  • E. John Boorman
    John Boorman is a British film director best known for acclaimed and visually striking works such as "Deliverance," "Point Blank," and "Excalibur."
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e03c5f081908e4d14dbdbc7f7a6 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3f8eac81908489baeb4cb6bb53 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:17 a.m.