Triple

T9937422
Position Surface form Disambiguated ID Type / Status
Subject By the Sea E193991 entity
Predicate castMember P1668 FINISHED
Object Richard Bohringer E494342 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: Richard Bohringer | Statement: [By the Sea, castMember, Richard Bohringer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Bohringer
Context triple: [By the Sea, castMember, Richard Bohringer]
  • A. Richard Bohringer chosen
    Richard Bohringer is a French actor, filmmaker, and musician known for his intense screen presence and prominent roles in European cinema.
  • B. Martin Benrath
    Martin Benrath was a German actor known for his extensive work in film, television, and theater from the mid-20th century onward.
  • C. Thomas Römer
    Thomas Römer is a prominent French biblical scholar and historian of ancient Israel, known for his influential work on the composition and historical context of the Hebrew Bible.
  • D. Christoph Menzel
    Christoph Menzel is a German physicist known for his research in nanophotonics and metamaterials.
  • E. Richard Hönigswald
    Richard Hönigswald was a German Neo-Kantian philosopher known for his work on epistemology, logic, and the philosophy of science in the early 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e4e19881909879b394090d6629 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3000b21088190aa3ebb2ccbce9a6e completed April 6, 2026, 12:36 a.m.
Created at: March 30, 2026, 8:44 p.m.