Triple

T6965199
Position Surface form Disambiguated ID Type / Status
Subject The Bridge (American TV series) E161470 entity
Predicate basedOn P98 FINISHED
Object Bron/Broen
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.
 E631654 NE FINISHED

How this triple was built (4 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), basedOn, 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), basedOn, Bron/Broen]
  • A. Brunon
    Brunon is a masculine given name, primarily used in Polish and other Central European languages, that is related to the name Bruno.
  • B. Breng
    Breng is a Dutch public transport operator providing regional bus and train services in and around Arnhem and Nijmegen in the Netherlands.
  • C. Brion
    Brion is a surname most notably associated with American musician, composer, and record producer Jon Brion.
  • D. Brenner
    Brenner is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
  • E. Broglien
    A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bron/Broen
Triple: [The Bridge (American TV series), basedOn, Bron/Broen]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bron/Broen
Target entity description: 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.
  • A. Brunon
    Brunon is a masculine given name, primarily used in Polish and other Central European languages, that is related to the name Bruno.
  • B. Breng
    Breng is a Dutch public transport operator providing regional bus and train services in and around Arnhem and Nijmegen in the Netherlands.
  • C. Brion
    Brion is a surname most notably associated with American musician, composer, and record producer Jon Brion.
  • D. Brenner
    Brenner is a surname of German origin borne by various notable individuals across fields such as science, politics, and the arts.
  • E. Broglien
    A Broglien is a resident or native of the commune of Broglie in the Eure department of northern France.
  • F. None of above. chosen

Provenance (5 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_69c758a57b8481908cef7de9b3abf7a3 completed March 28, 2026, 4:27 a.m.
NEDg Description generation batch_69c75afc74a88190b87284b9a07e8abb completed March 28, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69c75ba456ec81908bd3ab9ade1954d4 completed March 28, 2026, 4:40 a.m.
Created at: March 27, 2026, 2:30 p.m.