Triple

T1896463
Position Surface form Disambiguated ID Type / Status
Subject Power E41993 entity
Predicate hasNotableBearer P458 FINISHED
Object David Power
David Power is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
E220722 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: David Power | Statement: [Power, hasNotableBearer, David Power]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Power
Context triple: [Power, hasNotableBearer, David Power]
  • A. Richard Power
    Richard Power is a personal name shared by several notable individuals across fields such as politics, sports, and the arts.
  • B. Frank Power
    Frank Power is a notable individual recognized for achievements or public prominence associated with the surname Power.
  • C. George Scott
    George Scott was a power-hitting first baseman and three-time All-Star known for his strong defense and key role with the Boston Red Sox in the late 1960s and 1970s.
  • D. John Hull
    John Hull was a prominent 17th-century Boston merchant, silversmith, and colonial official best known for serving as the Massachusetts Bay Colony’s mintmaster.
  • E. Nicholas Power
    Nicholas Power is a personal name shared by multiple individuals, including figures in fields such as politics, academia, and the arts.
  • 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: David Power
Triple: [Power, hasNotableBearer, David Power]
Generated description
David Power is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Power
Target entity description: David Power is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • A. Richard Power
    Richard Power is a personal name shared by several notable individuals across fields such as politics, sports, and the arts.
  • B. Frank Power
    Frank Power is a notable individual recognized for achievements or public prominence associated with the surname Power.
  • C. George Scott
    George Scott was a power-hitting first baseman and three-time All-Star known for his strong defense and key role with the Boston Red Sox in the late 1960s and 1970s.
  • D. John Hull
    John Hull was a prominent 17th-century Boston merchant, silversmith, and colonial official best known for serving as the Massachusetts Bay Colony’s mintmaster.
  • E. Nicholas Power
    Nicholas Power is a personal name shared by multiple individuals, including figures in fields such as politics, academia, and the arts.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb16f416c8190a49b24523b3a7f85 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfba998e88190a4692d3aefa09806 completed March 8, 2026, 10:43 p.m.
NEDg Description generation batch_69adfc2b6a0c8190a9129dc0a930d1b1 completed March 8, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_69adfd3ecb7881909a6692bb58211c2e completed March 8, 2026, 10:50 p.m.
Created at: March 4, 2026, 7:35 p.m.