Triple

T6965200
Position Surface form Disambiguated ID Type / Status
Subject The Bridge (American TV series) E161470 entity
Predicate inspiredBy P9 FINISHED
Object Bron/Broen E631654 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: Bron/Broen | Statement: [The Bridge (American TV series), inspiredBy, Bron/Broen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bron/Broen
Context triple: [The Bridge (American TV series), inspiredBy, Bron/Broen]
  • A. Bron/Broen chosen
    Bron/Broen is a Scandinavian crime drama television series that follows a joint Danish-Swedish police investigation into murders that occur on the Øresund Bridge connecting the two countries.
  • B. Brunon
    Brunon is a masculine given name, primarily used in Polish and other Central European languages, that is related to the name Bruno.
  • C. Breng
    Breng is a Dutch public transport operator providing regional bus and train services in and around Arnhem and Nijmegen in the Netherlands.
  • D. Brion
    Brion is a surname most notably associated with American musician, composer, and record producer Jon Brion.
  • E. Brenner
    Brenner is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1049e0819097099a0e9d15f787 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761908564819084505f0ab1122a9c completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.