Triple

T1650880
Position Surface form Disambiguated ID Type / Status
Subject Karen Black E35688 entity
Predicate notableWork P4 FINISHED
Object Easy Wheels
Easy Wheels is a 1989 cult comedy film that parodies biker movies through the story of a motorcycle gang of women raised by wolves.
E185808 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: Easy Wheels | Statement: [Karen Black, notableWork, Easy Wheels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Easy Wheels
Context triple: [Karen Black, notableWork, Easy Wheels]
  • A. Wheelie
    Wheelie is a small, wisecracking Autobot from the Transformers franchise known for his rhyming speech and comic-relief role.
  • B. Velo
    Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
  • C. Cartwheel
    Cartwheel was a major World War II Allied military campaign in the Pacific aimed at isolating and neutralizing the Japanese stronghold of Rabaul through a series of coordinated offensives.
  • D. Easy Exotic
    Easy Exotic is a cookbook by Padma Lakshmi that showcases simple, globally inspired recipes influenced by her multicultural background.
  • E. EZY
    EZY is the ICAO airline designator used for flights operated by the British low-cost carrier easyJet.
  • 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: Easy Wheels
Triple: [Karen Black, notableWork, Easy Wheels]
Generated description
Easy Wheels is a 1989 cult comedy film that parodies biker movies through the story of a motorcycle gang of women raised by wolves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Easy Wheels
Target entity description: Easy Wheels is a 1989 cult comedy film that parodies biker movies through the story of a motorcycle gang of women raised by wolves.
  • A. Wheelie
    Wheelie is a small, wisecracking Autobot from the Transformers franchise known for his rhyming speech and comic-relief role.
  • B. Velo
    Velo is a nicotine pouch brand owned by British American Tobacco, marketed as a smokeless alternative to traditional cigarettes.
  • C. Cartwheel
    Cartwheel was a major World War II Allied military campaign in the Pacific aimed at isolating and neutralizing the Japanese stronghold of Rabaul through a series of coordinated offensives.
  • D. Easy Exotic
    Easy Exotic is a cookbook by Padma Lakshmi that showcases simple, globally inspired recipes influenced by her multicultural background.
  • E. EZY
    EZY is the ICAO airline designator used for flights operated by the British low-cost carrier easyJet.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a67c0308190a502fd9c6c0769bc completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60a996508190bc227400cb7713ac completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad61323b308190b883c4bf2c3ca1bf completed March 8, 2026, 11:44 a.m.
NED2 Entity disambiguation (via description) batch_69ad622d695481909351a9c80f8d646f completed March 8, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:29 p.m.