Triple

T6043080
Position Surface form Disambiguated ID Type / Status
Subject Paul Schrader E134595 entity
Predicate name P16 FINISHED
Object Paul Schrader E134595 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 Schrader | Statement: [Paul Schrader, name, Paul Schrader]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Schrader
Context triple: [Paul Schrader, name, Paul Schrader]
  • A. Paul Schrader chosen
    Paul Schrader is an American filmmaker and screenwriter known for his intense, psychologically driven dramas and frequent collaborations with director Martin Scorsese.
  • B. Abel Ferrara
    Abel Ferrara is an American filmmaker known for his gritty, provocative crime dramas and cult classics such as "Bad Lieutenant" and "King of New York."
  • C. Roger Avary
    Roger Avary is a Canadian filmmaker and screenwriter best known for co-writing the Oscar-winning screenplay for Quentin Tarantino’s film "Pulp Fiction."
  • D. 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."
  • E. Alan Rudolph
    Alan Rudolph is an American film director and screenwriter known for his offbeat, character-driven dramas and romantic films, often blending ensemble casts with stylized, atmospheric storytelling.
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e108fc81908775d176ff960fad completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139b44888190bfa12d19e99ee673 completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:08 p.m.