Triple

T13017678
Position Surface form Disambiguated ID Type / Status
Subject Rahad Jackson E322594 entity
Predicate workWriter P2831 FINISHED
Object Paul Thomas Anderson E246796 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 Thomas Anderson | Statement: [Rahad Jackson, workWriter, Paul Thomas Anderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Thomas Anderson
Context triple: [Rahad Jackson, workWriter, Paul Thomas Anderson]
  • A. Paul Thomas Anderson chosen
    Paul Thomas Anderson is an acclaimed American filmmaker known for his character-driven, stylistically distinctive films such as "Boogie Nights," "Magnolia," and "There Will Be Blood."
  • B. James Gray
    James Gray is an American filmmaker known for his character-driven dramas and visually rich, classical storytelling in films such as "The Lost City of Z," "Ad Astra," and "We Own the Night."
  • C. Derek Cianfrance
    Derek Cianfrance is an American filmmaker known for his emotionally intense, character-driven dramas such as "Blue Valentine" and "The Place Beyond the Pines."
  • D. Gus Van Sant
    Gus Van Sant is an American filmmaker known for his distinctive independent cinema style and acclaimed films such as "Good Will Hunting," "Milk," and "My Own Private Idaho."
  • E. Martin Arjovsky
    Martin Arjovsky is a machine learning researcher best known for introducing the Wasserstein GAN, a generative adversarial network variant that improves training stability and sample quality.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ece22908190a0941e23df7c774d completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a20a5ec8190bc054b3d7cae003b completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 8:51 p.m.