Triple

T10595586
Position Surface form Disambiguated ID Type / Status
Subject Harold Christensen E250103 entity
Predicate familyName P18 FINISHED
Object Christensen E173455 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: Christensen | Statement: [Harold Christensen, familyName, Christensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christensen
Context triple: [Harold Christensen, familyName, Christensen]
  • A. Christensen chosen
    Christensen is a common Danish surname borne by numerous notable individuals across fields such as fashion, sports, politics, and the arts.
  • B. Kristensen
    Kristensen is a given name associated with the Norwegian historian and politician Ludvig Kristensen Daa.
  • C. Christiansen
    Christiansen is a surname of Scandinavian origin borne by various individuals, including American television chef and author Sandra Lee.
  • D. Lovins
    Lovins is the surname of Amory B. Lovins, an American physicist and environmentalist known for his work on energy efficiency and sustainable energy policy.
  • E. Johnsen
    Johnsen is a surname of Scandinavian origin, commonly used as a patronymic family name meaning "son of John."
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278cbf9081909ef419b0144d5019 completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e8de2e88190835954abb2ac2ece completed April 10, 2026, 8:33 p.m.
Created at: April 6, 2026, 12:41 p.m.