Triple

T3320311
Position Surface form Disambiguated ID Type / Status
Subject Kevin Durant E69778 entity
Predicate familyName P18 FINISHED
Object Durant E50984 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: Durant | Statement: [Kevin Durant, familyName, Durant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Durant
Context triple: [Kevin Durant, familyName, Durant]
  • A. Durant chosen
    Durant is a surname most famously associated with William C. Durant, the pioneering American automobile magnate who co-founded General Motors.
  • B. Kevin Durant
    Kevin Durant is an American professional basketball star widely regarded as one of the greatest scorers in NBA history, with multiple championships and MVP awards.
  • C. Ken Durant
    Ken Durant is an individual notable enough to be recognized as a namesake of the surname Durant.
  • D. Russell Westbrook
    Russell Westbrook is an American professional basketball point guard known for his explosive athleticism, relentless playing style, and multiple NBA triple-double and MVP accolades.
  • E. Stephen Curry
    Stephen Curry is an American professional basketball player widely regarded as one of the greatest shooters in NBA history and a transformative star for the Golden State Warriors.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb13a4e948190841134d6ae6ef432 completed March 8, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e4d4d948190b74116d1d21dc519 completed March 13, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:11 p.m.