Triple

T195064
Position Surface form Disambiguated ID Type / Status
Subject Brad Stevens E3800 entity
Predicate familyName P18 FINISHED
Object Stevens
Stevens is a common English-language surname borne by numerous notable individuals across fields such as sports, politics, arts, and academia.
 E26256 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: Stevens | Statement: [Brad Stevens, familyName, Stevens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stevens
Context triple: [Brad Stevens, familyName, Stevens]
  • A. Stearns
    Stearns is the middle name of the influential modernist poet and critic T. S. Eliot, whose full name is Thomas Stearns Eliot.
  • B. Richardson
    Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
  • C. Cabell
    Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • D. Davis
    Davis is the individual or party who served as the respondent in the U.S. Supreme Court case Steward Machine Co. v. Davis, which addressed the constitutionality of certain New Deal-era federal taxation and social welfare provisions.
  • E. Davis
    Davis is an underground rapid transit station in Somerville, Massachusetts, on Boston’s MBTA Red Line.
  • 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: Stevens
Triple: [Brad Stevens, familyName, Stevens]
Generated description
Stevens is a common English-language surname borne by numerous notable individuals across fields such as sports, politics, arts, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stevens
Target entity description: Stevens is a common English-language surname borne by numerous notable individuals across fields such as sports, politics, arts, and academia.
  • A. Stearns
    Stearns is the middle name of the influential modernist poet and critic T. S. Eliot, whose full name is Thomas Stearns Eliot.
  • B. Richardson
    Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
  • C. Cabell
    Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
  • D. Davis
    Davis is the individual or party who served as the respondent in the U.S. Supreme Court case Steward Machine Co. v. Davis, which addressed the constitutionality of certain New Deal-era federal taxation and social welfare provisions.
  • E. Davis
    Davis is an underground rapid transit station in Somerville, Massachusetts, on Boston’s MBTA Red Line.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a25969425081908e178db8ba4631c2 completed Feb. 28, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69a32bc5d56c8190bbe922eee86bcc58 completed Feb. 28, 2026, 5:54 p.m.
NEDg Description generation batch_69a32c3933988190b570bcd442b7095e completed Feb. 28, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_69a32cbc7db08190a94e1ac4d35ca257 completed Feb. 28, 2026, 5:58 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.