Triple

T4755754
Position Surface form Disambiguated ID Type / Status
Subject William Fleming (American football) E105583 entity
Predicate name P16 FINISHED
Object William Fleming E105583 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: William Fleming | Statement: [William Fleming (American football), name, William Fleming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Fleming
Context triple: [William Fleming (American football), name, William Fleming]
  • A. William Fleming chosen
    William Fleming is a relatively common personal name shared by multiple notable individuals across fields such as politics, education, and sports.
  • B. Peter Fleming
    Peter Fleming was a British travel writer, journalist, and adventurer, best known for his travel books and for his work as a wartime intelligence officer.
  • C. Sir William Fleming
    Sir William Fleming was a notable British figure historically associated with the village of Nettlebed in Oxfordshire, England.
  • D. Ian Fleming
    Ian Fleming was a British author and journalist best known as the creator of the James Bond spy novels.
  • E. C. S. Forester
    C. S. Forester was a British novelist best known for his historical naval adventures, particularly the Horatio Hornblower series.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64e9d80c819088532921a46ea1d6 completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be778681e48190980996b7cf2f3b05 completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:20 p.m.