Triple

T8888880
Position Surface form Disambiguated ID Type / Status
Subject John O. Power E211610 entity
Predicate hasFamilyName P18 FINISHED
Object Power
Power is a surname of Irish origin borne by various notable individuals across fields such as politics, sports, and the arts.
 E41993 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: Power | Statement: [John O. Power, hasFamilyName, Power]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Power
Context triple: [John O. Power, hasFamilyName, Power]
  • A. Power
    "Power" is a critically acclaimed hip-hop song by Kanye West known for its bombastic production, introspective lyrics, and prominent use of progressive rock and soul samples.
  • B. Power
    Power is a popular American crime drama television series that follows a New York City nightclub owner leading a double life as a drug kingpin.
  • C. Power
    Power is the nickname of the Port Adelaide Football Club’s team that competes in the Australian Football League (AFL).
  • D. Power
    "Power" is a contemporary classical composition by American composer John Stevens, known for its bold, energetic writing and prominent use of brass.
  • E. Power
    "Power" is an ecofeminist novel by Linda Hogan that explores the intertwined struggles of an Indigenous girl, her community, and the natural world in the face of environmental and cultural destruction.
  • 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: Power
Triple: [John O. Power, hasFamilyName, Power]
Generated description
Power is a surname of Irish origin borne by various notable individuals across fields such as politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Power
Target entity description: Power is a surname of Irish origin borne by various notable individuals across fields such as politics, sports, and the arts.
  • A. Power chosen
    Power is a surname most famously associated with American film star Tyrone Power, known for his swashbuckling and romantic leading roles in Hollywood’s Golden Age.
  • B. Power
    Power is the nickname of the Port Adelaide Football Club’s team that competes in the Australian Football League (AFL).
  • C. Power
    Power is a popular American crime drama television series that follows a New York City nightclub owner leading a double life as a drug kingpin.
  • D. Power
    "Power" is a contemporary classical composition by American composer John Stevens, known for its bold, energetic writing and prominent use of brass.
  • E. Power
    "Power" is a critically acclaimed hip-hop song by Kanye West known for its bombastic production, introspective lyrics, and prominent use of progressive rock and soul samples.
  • F. None of above.

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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc618f94108190b03248832bfe68a9 completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd08dbf8081908d0cacc968dd0a7d completed April 3, 2026, 2:37 p.m.
NEDg Description generation batch_69cfd49a4f888190a0967823bac948fa completed April 3, 2026, 2:54 p.m.
NED2 Entity disambiguation (via description) batch_69cfd4e74f988190a277e7da6b5fed8f completed April 3, 2026, 2:55 p.m.
Created at: March 30, 2026, 6:53 p.m.