Triple

T1753965
Position Surface form Disambiguated ID Type / Status
Subject David M. Buss E38509 entity
Predicate familyName P18 FINISHED
Object Buss
Buss is a surname most notably associated with David M. Buss, an influential American evolutionary psychologist known for his work on human mating strategies.
E197031 NE FINISHED

How this triple was built (4 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: [David M. Buss, familyName, Buss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buss
Context triple: [David M. Buss, familyName, Buss]
  • A. 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.
  • B. Busbridge
    Busbridge is a small village in Surrey, England, situated near the town of Godalming and known for its rural character and historic church.
  • C. 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.
  • D. Busby
    Busby is a small village in East Renfrewshire, Scotland, situated on the River Cart to the south of Glasgow.
  • E. Trolebús
    Trolebús is an electric trolleybus transit system serving Mexico City as part of its broader public transportation network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Buss
Triple: [David M. Buss, familyName, Buss]
Generated description
Buss is a surname most notably associated with David M. Buss, an influential American evolutionary psychologist known for his work on human mating strategies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Buss
Target entity description: Buss is a surname most notably associated with David M. Buss, an influential American evolutionary psychologist known for his work on human mating strategies.
  • A. 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.
  • B. Busbridge
    Busbridge is a small village in Surrey, England, situated near the town of Godalming and known for its rural character and historic church.
  • C. 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.
  • D. Busby
    Busby is a small village in East Renfrewshire, Scotland, situated on the River Cart to the south of Glasgow.
  • E. Trolebús
    Trolebús is an electric trolleybus transit system serving Mexico City as part of its broader public transportation network.
  • F. None of above. chosen

Provenance (5 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64169c508190a33074fb06e9c755 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e84c1c8190917edf14003cba81 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada1a2fb9481909d9ed587921ca6b6 completed March 8, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69ada4e28830819082ed7facee14587f completed March 8, 2026, 4:33 p.m.
Created at: March 4, 2026, 7:31 p.m.