Triple

T10346659
Position Surface form Disambiguated ID Type / Status
Subject Diane Heidkrüger E243763 entity
Predicate notableWork P4 FINISHED
Object The Bridge E161470 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: The Bridge | Statement: [Diane Heidkrüger, notableWork, The Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Bridge
Context triple: [Diane Heidkrüger, notableWork, The Bridge]
  • A. The Bridge chosen
    The Bridge is an American crime drama television series in which Diane Kruger stars as a brilliant but socially awkward detective investigating cross-border murders on the U.S.–Mexico frontier.
  • B. The Bridge
    The Bridge is the English translation of "Die Brücke," the name of the influential early 20th-century German Expressionist artist group.
  • C. The Bridge
    The Bridge is an ambitious modernist epic poem by Hart Crane that reimagines American history and experience through the symbolic central image of the Brooklyn Bridge.
  • D. The Bridge
    "The Bridge" is a musical track from the score of the animated film *Kung Fu Panda* (2008), composed by Hans Zimmer and John Powell.
  • E. The Bridge
    The Bridge is a film or television work featuring German actress Franka Potente, known for her intense and dynamic performances.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9251654819080d1e3f0ed4ee9d3 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750879d308190893bd8425aaa49d7 completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:56 a.m.