Triple

T15689308
Position Surface form Disambiguated ID Type / Status
Subject Thomas Langmann E380282 entity
Predicate produced P490 FINISHED
Object Stars 80
Stars 80 is a French comedy film that nostalgically celebrates the pop music and performers of the 1980s.
 E1171589 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: Stars 80 | Statement: [Thomas Langmann, produced, Stars 80]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stars 80
Context triple: [Thomas Langmann, produced, Stars 80]
  • A. Star 80
    Star 80 is a 1983 biographical crime drama film that chronicles the tragic life and murder of Playboy model Dorothy Stratten.
  • B. Los 80
    Los 80 is a Chilean television drama series that portrays the life of a middle-class family during the politically turbulent 1980s in Chile.
  • C. The 80s: A Look Back
    The 80s: A Look Back is a satirical book co-created by humorist Christopher Cerf that parodies a retrospective history of the 1980s written from the perspective of the year 1993.
  • D. “Eighties”
    “Eighties” is a 1984 post-punk/industrial rock song by Killing Joke, known for its driving riff and its influence on later alternative and metal bands.
  • E. I Love the 80s
    I Love the 80s is a nostalgic VH1 television series in which celebrities humorously reminisce about and comment on pop culture from the 1980s.
  • 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: Stars 80
Triple: [Thomas Langmann, produced, Stars 80]
Generated description
Stars 80 is a French comedy film that nostalgically celebrates the pop music and performers of the 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stars 80
Target entity description: Stars 80 is a French comedy film that nostalgically celebrates the pop music and performers of the 1980s.
  • A. Star 80
    Star 80 is a 1983 biographical crime drama film that chronicles the tragic life and murder of Playboy model Dorothy Stratten.
  • B. Los 80
    Los 80 is a Chilean television drama series that portrays the life of a middle-class family during the politically turbulent 1980s in Chile.
  • C. The 80s: A Look Back
    The 80s: A Look Back is a satirical book co-created by humorist Christopher Cerf that parodies a retrospective history of the 1980s written from the perspective of the year 1993.
  • D. “Eighties”
    “Eighties” is a 1984 post-punk/industrial rock song by Killing Joke, known for its driving riff and its influence on later alternative and metal bands.
  • E. I Love the 80s
    I Love the 80s is a nostalgic VH1 television series in which celebrities humorously reminisce about and comment on pop culture from the 1980s.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4e59988190aaf12f6a07c8f0e4 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee91340819086c8f51e8eb477aa completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff6fd9c968819098b2552a9deb0445 completed May 9, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69ff708d42448190a53b90e00721eaa5 completed May 9, 2026, 5:36 p.m.
Created at: April 10, 2026, 4:44 a.m.