Triple

T6821493
Position Surface form Disambiguated ID Type / Status
Subject What’s New Pussycat? E156907 entity
Predicate featuresCharacter P626 FINISHED
Object Michael James
Michael James is the womanizing psychiatrist protagonist of the 1965 romantic comedy film "What’s New Pussycat?".
 E623341 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: Michael James | Statement: [What’s New Pussycat?, featuresCharacter, Michael James]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael James
Context triple: [What’s New Pussycat?, featuresCharacter, Michael James]
  • A. Michael Long
    Michael Long is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • B. Mike Wilson
    Mike Wilson is known as the father of former child actress and writer Mara Wilson.
  • C. James Seymour
    James Seymour was an American screenwriter active during Hollywood's early sound era, contributing to several notable studio films in the 1930s.
  • D. Michael Roberds
    Michael Roberds was a Canadian actor best known for playing Uncle Fester in the 1990s television adaptation of The Addams Family.
  • E. Roy Andrew Miller
    Roy Andrew Miller was an American linguist renowned for his influential and controversial work on the proposed Altaic language family and for his broader contributions to East Asian linguistics.
  • 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: Michael James
Triple: [What’s New Pussycat?, featuresCharacter, Michael James]
Generated description
Michael James is the womanizing psychiatrist protagonist of the 1965 romantic comedy film "What’s New Pussycat?".
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael James
Target entity description: Michael James is the womanizing psychiatrist protagonist of the 1965 romantic comedy film "What’s New Pussycat?".
  • A. Michael Long
    Michael Long is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • B. Mike Wilson
    Mike Wilson is known as the father of former child actress and writer Mara Wilson.
  • C. James Seymour
    James Seymour was an American screenwriter active during Hollywood's early sound era, contributing to several notable studio films in the 1930s.
  • D. Michael Roberds
    Michael Roberds was a Canadian actor best known for playing Uncle Fester in the 1990s television adaptation of The Addams Family.
  • E. Roy Andrew Miller
    Roy Andrew Miller was an American linguist renowned for his influential and controversial work on the proposed Altaic language family and for his broader contributions to East Asian linguistics.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d35a8af08190a172c7baa16a3b62 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fa6fc80819081f012ea2207c25a completed March 28, 2026, 1:32 a.m.
NEDg Description generation batch_69c7313f9df08190b0184ade01037193 completed March 28, 2026, 1:39 a.m.
NED2 Entity disambiguation (via description) batch_69c731a2d3fc81908fc90a9f9860311b completed March 28, 2026, 1:40 a.m.
Created at: March 27, 2026, 2:17 p.m.