Triple

T20183830
Position Surface form Disambiguated ID Type / Status
Subject Abraham Benrubi E492801 entity
Predicate notableWork P4 FINISHED
Object The Bridge 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: The Bridge | Statement: [Abraham Benrubi, notableWork, The Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Bridge
Context triple: [Abraham Benrubi, 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 a musical track from the score of the animated film *Kung Fu Panda* (2008), composed by Hans Zimmer and John Powell.
  • D. The Bridge
    The Bridge is a film or television work featuring German actress Franka Potente, known for her intense and dynamic performances.
  • E. The Bridge
    The Bridge is a 1959 anti-war film directed by Bernhard Wicki that portrays a group of German schoolboys tragically defending a useless bridge at the end of World War II.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668f068748190a0941e98ef5afd59 completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.