Triple

T2173261
Position Surface form Disambiguated ID Type / Status
Subject Five Easy Pieces E48470 entity
Predicate producer P490 FINISHED
Object Richard Wechsler
Richard Wechsler is a film producer best known for his work on the acclaimed 1970 drama "Five Easy Pieces."
 E244395 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: Richard Wechsler | Statement: [Five Easy Pieces, producer, Richard Wechsler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Richard Wechsler
Context triple: [Five Easy Pieces, producer, Richard Wechsler]
  • A. Joseph Wechsler
    Joseph Wechsler was an individual of sufficient local or historical significance to be recognized as a notable burial at Mount Olivet Cemetery in Frederick, Maryland.
  • B. David Weisberg
    David Weisberg is a screenwriter best known for co-writing the action film "The Rock" and other Hollywood thrillers.
  • C. Norm Schachter
    Norm Schachter was a prominent American football official best known for serving as the referee in the first three Super Bowls.
  • D. Chris Lebenzon
    Chris Lebenzon is an American film editor known for his long-time collaborations with directors like Tim Burton and Tony Scott on major Hollywood films.
  • E. Sheldon Finkelstein
    Sheldon Finkelstein is a person notable enough to be recognized as a prominent bearer of the surname Finkelstein.
  • 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: Richard Wechsler
Triple: [Five Easy Pieces, producer, Richard Wechsler]
Generated description
Richard Wechsler is a film producer best known for his work on the acclaimed 1970 drama "Five Easy Pieces."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Richard Wechsler
Target entity description: Richard Wechsler is a film producer best known for his work on the acclaimed 1970 drama "Five Easy Pieces."
  • A. Joseph Wechsler
    Joseph Wechsler was an individual of sufficient local or historical significance to be recognized as a notable burial at Mount Olivet Cemetery in Frederick, Maryland.
  • B. David Weisberg
    David Weisberg is a screenwriter best known for co-writing the action film "The Rock" and other Hollywood thrillers.
  • C. Norm Schachter
    Norm Schachter was a prominent American football official best known for serving as the referee in the first three Super Bowls.
  • D. Chris Lebenzon
    Chris Lebenzon is an American film editor known for his long-time collaborations with directors like Tim Burton and Tony Scott on major Hollywood films.
  • E. Sheldon Finkelstein
    Sheldon Finkelstein is a person notable enough to be recognized as a prominent bearer of the surname Finkelstein.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbecb97a48190834e3e536184bbd1 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae653b6ae48190ab5c7e6bf2dcfa6f completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae66411d848190a529018ad3765597 completed March 9, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_69ae66a751f881908fda164de72dac9b completed March 9, 2026, 6:20 a.m.
Created at: March 4, 2026, 7:45 p.m.