Triple

T19593216
Position Surface form Disambiguated ID Type / Status
Subject R.I.P.D. E470287 entity
Predicate director P255 FINISHED
Object Robert Schwentke NE NERFINISHED

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: [R.I.P.D., director, Robert Schwentke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Schwentke
Context triple: [R.I.P.D., 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. Rolf Weitz
    Rolf Weitz is an individual notable enough to be specifically cited as a bearer of the surname Weitz.
  • C. Stephan Jost
    Stephan Jost is a Canadian art museum director best known for leading the Art Gallery of Ontario in Toronto.
  • D. Markus Majowski
    Markus Majowski is a German actor and comedian known for his roles in film, television, and theater.
  • E. Thomas Spies
    Thomas Spies is a German politician and member of the Social Democratic Party (SPD) who has served as the mayor of Marburg.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640782e2c8190b5baef07a2bdd015 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.