Triple

T17051141
Position Surface form Disambiguated ID Type / Status
Subject Hope Jahren E413698 entity
Predicate familyName P18 FINISHED
Object Jahren E413698 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: Jahren | Statement: [Hope Jahren, familyName, Jahren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jahren
Context triple: [Hope Jahren, familyName, Jahren]
  • A. Jahren chosen
    Jahren is a surname most notably associated with Hope Jahren, an American geochemist, geobiologist, and author known for her work on plant science and her memoir "Lab Girl."
  • B. Jaren
    Jaren is a village and transport hub in Gran municipality in Innlandet county, Norway, serving as a stop on the rail line north of Oslo.
  • C. Jaren
    Jaren is a vocalist best known for her work in electronic and trance music collaborations.
  • D. Anos
    Anos is a barangay (village-level administrative division) of the municipality of Los Baños in the province of Laguna, Philippines.
  • E. Yearby
    Yearby is a small village in the borough of Redcar and Cleveland in North Yorkshire, England.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa26e84819098b41ae15618e813 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012341b8e88190a2bee865be5ca1c1 completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:34 a.m.