Triple

T11966667
Position Surface form Disambiguated ID Type / Status
Subject Henrik Larsen E284806 entity
Predicate familyName P18 FINISHED
Object Larsen E272819 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: Larsen | Statement: [Henrik Larsen, familyName, Larsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larsen
Context triple: [Henrik Larsen, familyName, Larsen]
  • A. Larsen chosen
    Larsen is a surname of Scandinavian origin borne by numerous notable individuals across fields such as literature, music, and sports.
  • B. Nellallitea Larsen
    Nellallitea Larsen was an American novelist and key figure of the Harlem Renaissance, best known for her works exploring race, identity, and gender such as "Passing" and "Quicksand."
  • C. Lindberg
    Lindberg is a small municipality in the Regen district of Bavaria, Germany, known for its location in the Bavarian Forest region.
  • D. Lársen
    Lársen is a variant spelling of the surname Larsen, a common Scandinavian family name typically meaning "son of Lars."
  • E. Thwaites
    Thwaites is a surname most prominently associated with Australian actor Brenton Thwaites, known for his roles in film and television.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037adf5881908abe1a4e64a71f20 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f45952f69c8190a8c7f3c327ea1a63 completed May 1, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:46 p.m.