Triple

T3143381
Position Surface form Disambiguated ID Type / Status
Subject La La Anthony E65705 entity
Predicate notableWork P4 FINISHED
Object 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.
 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: [La La Anthony, notableWork, Power]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Power
Context triple: [La La Anthony, 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 a surname most famously associated with American film star Tyrone Power, known for his swashbuckling and romantic leading roles in Hollywood’s Golden Age.
  • C. Powers
    Powers is a variant form of the surname Power, commonly of Irish origin and borne by various notable individuals and families.
  • D. Power and Controls
    Power and Controls is a Collins Aerospace division specializing in aircraft power generation, distribution, and control systems for commercial and military aviation.
  • E. POWER1
    POWER1 is IBM’s first-generation 32-bit RISC microprocessor architecture used in early RS/6000 workstations and servers.
  • 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: [La La Anthony, notableWork, Power]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Power
Target entity description: 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.
  • A. 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.
  • 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. Powers
    Powers is a variant form of the surname Power, commonly of Irish origin and borne by various notable individuals and families.
  • D. Power and Controls
    Power and Controls is a Collins Aerospace division specializing in aircraft power generation, distribution, and control systems for commercial and military aviation.
  • E. POWER1
    POWER1 is IBM’s first-generation 32-bit RISC microprocessor architecture used in early RS/6000 workstations and servers.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59489a88190b0962cef091f4ddb completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224e9029c8190bd88dbb18b5f71a8 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b225c419cc8190ac157b5996132d3f completed March 12, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_69b2264e67748190920fbd2db5355de4 completed March 12, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:05 p.m.