Triple

T10354872
Position Surface form Disambiguated ID Type / Status
Subject Days of Wine and Roses E243975 entity
Predicate screenwriter P2831 FINISHED
Object JP Miller
JP Miller was an American screenwriter and playwright best known for his hard-hitting television dramas and the film adaptation of "Days of Wine and Roses."
 E857975 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: JP Miller | Statement: [Days of Wine and Roses, screenwriter, JP Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JP Miller
Context triple: [Days of Wine and Roses, screenwriter, JP Miller]
  • A. Carl Miller
    Carl Miller was an American silent film actor active in the 1920s, known for his supporting roles in several notable early Hollywood productions.
  • B. Sidney Miller
    Sidney Miller was a person significant enough in the history or founding of Millerton, New York, that the village was named in his honor.
  • C. Dan Miller
    Dan Miller is an American singer best known as a member of the early 2000s boy band O-Town formed on the reality TV show "Making the Band."
  • D. Robert Lane Miller
    Robert Lane Miller is an American author and legal expert known for his work on international business law and cross-border transactions.
  • E. Jim Miller
    Jim Miller is a film editor known for his work on major Hollywood productions, including the science-fiction comedy "Men in Black."
  • 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: JP Miller
Triple: [Days of Wine and Roses, screenwriter, JP Miller]
Generated description
JP Miller was an American screenwriter and playwright best known for his hard-hitting television dramas and the film adaptation of "Days of Wine and Roses."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JP Miller
Target entity description: JP Miller was an American screenwriter and playwright best known for his hard-hitting television dramas and the film adaptation of "Days of Wine and Roses."
  • A. Carl Miller
    Carl Miller was an American silent film actor active in the 1920s, known for his supporting roles in several notable early Hollywood productions.
  • B. Sidney Miller
    Sidney Miller was a person significant enough in the history or founding of Millerton, New York, that the village was named in his honor.
  • C. Dan Miller
    Dan Miller is an American singer best known as a member of the early 2000s boy band O-Town formed on the reality TV show "Making the Band."
  • D. Robert Lane Miller
    Robert Lane Miller is an American author and legal expert known for his work on international business law and cross-border transactions.
  • E. Jim Miller
    Jim Miller is a film editor known for his work on major Hollywood productions, including the science-fiction comedy "Men in Black."
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e953d4888190b7ca0ac932349dbf completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750a30af88190b2ebf0daf758ed44 completed April 9, 2026, 7:09 a.m.
NEDg Description generation batch_69d7618da0188190901026dd51ceaa46 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77045ea988190bd8e31f5f636f69b completed April 9, 2026, 9:24 a.m.
Created at: April 6, 2026, 11:58 a.m.