Triple

T22148060
Position Surface form Disambiguated ID Type / Status
Subject The Divergent Series: Allegiant E547341 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: [The Divergent Series: Allegiant, director, Robert Schwentke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Schwentke
Context triple: [The Divergent Series: Allegiant, 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. Dennis Gansel
    Dennis Gansel is a German film director and screenwriter best known for works such as "The Wave" and "Before the Fall."
  • E. Markus Majowski
    Markus Majowski is a German actor and comedian known for his roles in film, television, and theater.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f209688190afea1f275c922c73 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.