Triple

T3538509
Position Surface form Disambiguated ID Type / Status
Subject Chuck Hansen E74824 entity
Predicate familyName P18 FINISHED
Object Hansen E263797 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: Hansen | Statement: [Chuck Hansen, familyName, Hansen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hansen
Context triple: [Chuck Hansen, familyName, Hansen]
  • A. Hansen chosen
    Hansen is a common Scandinavian-origin surname borne by numerous notable individuals across fields such as sports, politics, science, and the arts.
  • B. Hahn
    Hahn is a surname of German origin borne by various notable individuals across fields such as science, sports, and the arts.
  • C. Hassler
    Hassler Whitney was an influential American mathematician known for his foundational work in differential topology and manifold theory.
  • D. Hans Hansen
    Hans Hansen is a central character in Thomas Mann's novella "Tonio Kröger," representing the idealized, conventional bourgeois youth who contrasts with the artistic, introspective protagonist.
  • E. Flemming
    Flemming is a surname and given name of Germanic origin, used by various notable individuals across fields such as politics, arts, and science.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcca5e008190abcfe40c8902a95f completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bd4d5f4819095c962f01fc6f7e8 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:20 p.m.