Triple

T13628720
Position Surface form Disambiguated ID Type / Status
Subject Amanda Warren E325655 entity
Predicate notableWork P4 FINISHED
Object Power
Power is a crime drama television series that follows a New York City nightclub owner leading a double life as a powerful drug kingpin.
E332601 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: [Amanda Warren, notableWork, Power]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Power
Context triple: [Amanda Warren, notableWork, 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 an Irish surname historically associated with prominent political and landowning families, particularly in County Waterford and surrounding regions.
  • C. Power
    "Power" is the influential 1988 studio album by rapper Ice-T that helped define early West Coast gangsta rap.
  • D. Power
    Power is the nickname of the Port Adelaide Football Club’s team that competes in the Australian Football League (AFL).
  • 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: [Amanda Warren, notableWork, Power]
Generated description
Power is a crime drama television series that follows a New York City nightclub owner leading a double life as a powerful drug kingpin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Power
Target entity description: Power is a crime drama television series that follows a New York City nightclub owner leading a double life as a powerful drug kingpin.
  • A. Power chosen
    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.
  • B. 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.
  • C. Power
    "Power" is the influential 1988 studio album by rapper Ice-T that helped define early West Coast gangsta rap.
  • D. Power
    "Power" is a stage play by British dramatist Nick Dear that dramatizes the rise of Louis XIV and the political intrigues of the French court.
  • E. Power
    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.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9d803481908101def32817b0eb completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa895f081908f72a0746afeabed completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f78070e95c819088982e26fe2d8e26 completed May 3, 2026, 5:05 p.m.
NED2 Entity disambiguation (via description) batch_69f78157b9cc8190a1855cb9715aa7d5 completed May 3, 2026, 5:09 p.m.
Created at: April 9, 2026, 9:51 p.m.