Triple

T11436042
Position Surface form Disambiguated ID Type / Status
Subject Jesse Buss E271011 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: [Jesse Buss, familyName, Buss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buss
Context triple: [Jesse 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. The Bus
    The Bus is the nickname of New Zealand rugby union winger Julian Savea, renowned for his powerful, hard-running style and prolific try-scoring.
  • C. Unibus
    Unibus is a classic computer bus architecture developed by Digital Equipment Corporation for its PDP-11 minicomputers, enabling communication between the CPU, memory, and peripherals over a single shared pathway.
  • D. Badger Bus
    Badger Bus is a regional intercity bus company in Wisconsin that provides scheduled passenger service between major cities such as Milwaukee and Madison.
  • E. Optibús
    Optibús is the bus rapid transit (BRT) system serving the city of León in the Mexican state of Guanajuato.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d808855a7481909314f90ad92aae68 completed April 9, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d38727fc8190b5daac83e03491e6 completed April 20, 2026, 7:19 a.m.
Created at: April 8, 2026, 9:35 p.m.