Triple

T14594566
Position Surface form Disambiguated ID Type / Status
Subject The Man Who Fell to Earth E342524 entity
Predicate screenwriter P2831 FINISHED
Object Paul Mayersberg E861448 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: Paul Mayersberg | Statement: [The Man Who Fell to Earth, screenwriter, Paul Mayersberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Mayersberg
Context triple: [The Man Who Fell to Earth, screenwriter, Paul Mayersberg]
  • A. Paul Mayersberg chosen
    Paul Mayersberg is a British screenwriter and director best known for his work on films such as "The Man Who Fell to Earth" and "Croupier," noted for their stylish, psychologically complex narratives.
  • B. Daniel Mayer
    Daniel Mayer was a French socialist politician and member of the Resistance who later became a prominent leader in postwar French politics and human rights advocacy.
  • C. Marc Breitman
    Marc Breitman is a French architect known for his postmodern and classical-inspired urban projects, including major public buildings in Paris.
  • D. Paul Weinert
    Paul Weinert was a United States Army soldier and Medal of Honor recipient recognized for his bravery during the Indian Wars.
  • E. Michael Ballhaus
    Michael Ballhaus was a renowned German cinematographer celebrated for his dynamic camera work and frequent collaborations with director Martin Scorsese.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43480d8819084a707e56da2c237 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda918542c819099646943be59dd04 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:24 a.m.