Triple

T2454398
Position Surface form Disambiguated ID Type / Status
Subject Jeanie Buss E53784 entity
Predicate familyName P18 FINISHED
Object Buss E197031 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: Buss | Statement: [Jeanie Buss, familyName, Buss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buss
Context triple: [Jeanie Buss, familyName, Buss]
  • A. Buss chosen
    Buss is a surname most notably associated with David M. Buss, an influential American evolutionary psychologist known for his work on human mating strategies.
  • B. Kangaroo Bus
    Kangaroo Bus is a hop-on, hop-off shuttle service that transports visitors around the San Diego Zoo’s main exhibits and attractions.
  • C. Busbridge
    Busbridge is a small village in Surrey, England, situated near the town of Godalming and known for its rural character and historic church.
  • D. Academy Bus
    Academy Bus is a large private bus company in the United States known for operating commuter, charter, and intercity services, particularly in the New York–New Jersey region.
  • E. Busby
    Busby is a small village in East Renfrewshire, Scotland, situated on the River Cart to the south of Glasgow.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0f7f85c8190a60970b6adb7fe80 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0c7c90c8190ba5ed3cece5e049f completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:44 p.m.