Triple

T1288977
Position Surface form Disambiguated ID Type / Status
Subject Kirkpatrick-Fleming E27500 entity
Predicate hasNameElement P3097 FINISHED
Object Fleming E18669 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: Fleming | Statement: [Kirkpatrick-Fleming, hasNameElement, Fleming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fleming
Context triple: [Kirkpatrick-Fleming, hasNameElement, Fleming]
  • A. Fleming chosen
    Fleming is a surname most famously associated with Ian Fleming, the British author who created the James Bond spy novels.
  • B. Flemming
    Flemming is a surname and given name of Germanic origin, used by various notable individuals across fields such as politics, arts, and science.
  • C. Flemings
    Flemings are a Dutch-speaking ethnic group from the northern region of Belgium, primarily associated with Flanders and known for their distinct cultural and linguistic identity.
  • D. Wilkins
    Wilkins is a surname most notably associated with Roy Wilkins, a prominent American civil rights leader and longtime NAACP executive director.
  • E. Ehrlich
    Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0d4dfb081908c8825d6062b1d99 completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacbc7cd48190b06398486e5b30ba completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:51 p.m.