Triple

T8186903
Position Surface form Disambiguated ID Type / Status
Subject James Fleming E191207 entity
Predicate hasFamilyName P18 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: [James Fleming, hasFamilyName, Fleming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fleming
Context triple: [James Fleming, hasFamilyName, 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. Líster
    Líster is a Spanish surname most notably associated with Enrique Líster, a prominent communist military commander during the Spanish Civil War.
  • E. Paton
    Paton is a surname and given name of Scottish origin, used by various notable individuals in fields such as sports, politics, 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4d9e01208190842170abf62d9afb completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced7a109c819092d43d9e3cfc0706 completed April 1, 2026, 10:03 a.m.
Created at: March 30, 2026, 5:41 p.m.