Triple

T4502144
Position Surface form Disambiguated ID Type / Status
Subject Valerie Fleming E101245 entity
Predicate familyName 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: [Valerie Fleming, familyName, Fleming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fleming
Context triple: [Valerie Fleming, familyName, 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56fb2bec8190b74b6a49d9475514 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb901d6448190a2c89c0e1e9fbb9d completed March 20, 2026, 9:15 p.m.
Created at: March 20, 2026, 1 p.m.