Triple

T2196891
Position Surface form Disambiguated ID Type / Status
Subject Arenas E50395 entity
Predicate hasNotableBearer P458 FINISHED
Object Gilbert Arenas E9232 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: Gilbert Arenas | Statement: [Arenas, hasNotableBearer, Gilbert Arenas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilbert Arenas
Context triple: [Arenas, hasNotableBearer, Gilbert Arenas]
  • A. Gilbert Arenas chosen
    Gilbert Arenas is a former NBA All-Star guard best known for his high-scoring play and clutch performances in the mid-2000s.
  • B. Tayshaun Prince
    Tayshaun Prince is an American former professional basketball player and NBA champion, best known for his defensive prowess and key role with the Detroit Pistons in the 2000s.
  • C. Chauncey Billups
    Chauncey Billups is a former NBA All-Star point guard and Finals MVP who became an NBA head coach after a successful playing career highlighted by his leadership and clutch performances.
  • D. Cooke Maroney
    Cooke Maroney is an American art gallery director known for his work in the contemporary art world and his marriage to actress Jennifer Lawrence.
  • E. Scott Barnes
    Scott Barnes is an American college athletics administrator who serves as the athletic director at Oregon State University and has previously held similar roles at several other universities.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbf79f3e08190b56e9d7c0ff27237 completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5db7af9881908348ce1ad35f247a completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:46 p.m.