Triple

T18057860
Position Surface form Disambiguated ID Type / Status
Subject Hjalmar Branting E432085 entity
Predicate familyName P18 FINISHED
Object Branting 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: Branting | Statement: [Hjalmar Branting, familyName, Branting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Branting
Context triple: [Hjalmar Branting, familyName, Branting]
  • A. Branting chosen
    Branting is a Swedish surname most notably associated with Hjalmar Branting, a pioneering Social Democratic politician and Nobel Peace Prize laureate.
  • B. Brannenburg
    Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
  • C. Nordhoff
    Nordhoff is a surname most notably associated with American author and journalist Charles Nordhoff.
  • D. Hampsten
    Hampsten is the surname of Andy Hampsten, the American professional cyclist best known for winning the 1988 Giro d'Italia.
  • E. Walstedde
    Walstedde is a village and district within the town of Drensteinfurt in North Rhine-Westphalia, Germany.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c103cedc819086a905269b118795 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:26 a.m.