Triple

T3785095
Position Surface form Disambiguated ID Type / Status
Subject The Opposite of Sex E85511 entity
Predicate director P255 FINISHED
Object Don Roos
Don Roos is an American screenwriter and film director known for his sharp, darkly comedic dramas such as "The Opposite of Sex" and "Happy Endings."
 E387839 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: Don Roos | Statement: [The Opposite of Sex, director, Don Roos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Don Roos
Context triple: [The Opposite of Sex, director, Don Roos]
  • A. Thomas Rongen
    Thomas Rongen is a Dutch-American soccer coach and former player known for his extensive coaching career in Major League Soccer and with various U.S. national youth teams.
  • B. Ben Louw
    Ben Louw is an individual notable enough to be specifically cited as a prominent bearer of the surname Louw.
  • C. Jan T. Kleyna
    Jan T. Kleyna is an astronomer known for discovering outer irregular moons of Jupiter, including Taygete.
  • D. Fred J. Koenekamp
    Fred J. Koenekamp was an American cinematographer renowned for his work on major films of the 1970s and 1980s, earning an Academy Award and multiple nominations for his visually striking photography.
  • E. Pete Kuyper
    Pete Kuyper was an American entrepreneur best known for establishing the window and door manufacturer that became Pella Corporation.
  • 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: Don Roos
Triple: [The Opposite of Sex, director, Don Roos]
Generated description
Don Roos is an American screenwriter and film director known for his sharp, darkly comedic dramas such as "The Opposite of Sex" and "Happy Endings."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Don Roos
Target entity description: Don Roos is an American screenwriter and film director known for his sharp, darkly comedic dramas such as "The Opposite of Sex" and "Happy Endings."
  • A. Thomas Rongen
    Thomas Rongen is a Dutch-American soccer coach and former player known for his extensive coaching career in Major League Soccer and with various U.S. national youth teams.
  • B. Ben Louw
    Ben Louw is an individual notable enough to be specifically cited as a prominent bearer of the surname Louw.
  • C. Jan T. Kleyna
    Jan T. Kleyna is an astronomer known for discovering outer irregular moons of Jupiter, including Taygete.
  • D. Fred J. Koenekamp
    Fred J. Koenekamp was an American cinematographer renowned for his work on major films of the 1970s and 1980s, earning an Academy Award and multiple nominations for his visually striking photography.
  • E. Pete Kuyper
    Pete Kuyper was an American entrepreneur best known for establishing the window and door manufacturer that became Pella Corporation.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3dd80f08190a1704521a764e22c completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f04a35448190a57f431ef703b1e1 completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f159d7e88190a76d51378ba141d3 completed March 14, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_69b4f220f9388190b2c3615f713f01f2 completed March 14, 2026, 5:29 a.m.
Created at: March 9, 2026, 3:13 p.m.