Triple

T6043238
Position Surface form Disambiguated ID Type / Status
Subject Flightplan E134598 entity
Predicate director P255 FINISHED
Object Robert Schwentke E134598 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: Robert Schwentke | Statement: [Flightplan, director, Robert Schwentke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Schwentke
Context triple: [Flightplan, director, Robert Schwentke]
  • A. Robert Schwentke chosen
    Robert Schwentke is a German film director and screenwriter known for directing Hollywood thrillers and action films such as "Flightplan," "RED," and "The Time Traveler's Wife."
  • B. Stephan Jost
    Stephan Jost is a Canadian art museum director best known for leading the Art Gallery of Ontario in Toronto.
  • C. Bart Freundlich
    Bart Freundlich is an American film director, screenwriter, and producer known for independent dramas and for his long-term collaboration and marriage with actress Julianne Moore.
  • D. Michael Cuesta
    Michael Cuesta is an American film and television director and producer known for his work on series such as Homeland, Dexter, and Six Feet Under.
  • E. Randal Kleiser
    Randal Kleiser is an American film director best known for directing the hit musical "Grease" (1978) and other popular films of the late 20th century.
  • 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.