Triple

T9836596
Position Surface form Disambiguated ID Type / Status
Subject Rio Bravo (1959 film) E239117 entity
Predicate producer P490 FINISHED
Object Leonard Goldstein
Leonard Goldstein was an American film producer known for his work on mid-20th-century Hollywood Westerns and adventure films.
 E824697 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: Leonard Goldstein | Statement: [Rio Bravo (1959 film), producer, Leonard Goldstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leonard Goldstein
Context triple: [Rio Bravo (1959 film), producer, Leonard Goldstein]
  • A. Mort Goldman
    Mort Goldman is a neurotic, bespectacled Jewish pharmacist and recurring comic relief character on the animated television series Family Guy.
  • B. David Lurie
    David Lurie is the morally complex, middle-aged South African professor at the center of J.M. Coetzee’s novel "Disgrace," whose personal downfall unfolds against the backdrop of post-apartheid societal change.
  • C. Thomas Goldberg
    Thomas Goldberg is one of the children of American cartoonist and inventor Rube Goldberg.
  • D. George Goldberg
    George Goldberg was one of the children of American cartoonist and inventor Rube Goldberg.
  • E. Bernard Goldstein
    Bernard Goldstein is a notable individual whose achievements or prominence have made the surname Goldstein particularly recognized.
  • 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: Leonard Goldstein
Triple: [Rio Bravo (1959 film), producer, Leonard Goldstein]
Generated description
Leonard Goldstein was an American film producer known for his work on mid-20th-century Hollywood Westerns and adventure films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leonard Goldstein
Target entity description: Leonard Goldstein was an American film producer known for his work on mid-20th-century Hollywood Westerns and adventure films.
  • A. Mort Goldman
    Mort Goldman is a neurotic, bespectacled Jewish pharmacist and recurring comic relief character on the animated television series Family Guy.
  • B. David Lurie
    David Lurie is the morally complex, middle-aged South African professor at the center of J.M. Coetzee’s novel "Disgrace," whose personal downfall unfolds against the backdrop of post-apartheid societal change.
  • C. Thomas Goldberg
    Thomas Goldberg is one of the children of American cartoonist and inventor Rube Goldberg.
  • D. George Goldberg
    George Goldberg was one of the children of American cartoonist and inventor Rube Goldberg.
  • E. Bernard Goldstein
    Bernard Goldstein is a notable individual whose achievements or prominence have made the surname Goldstein particularly recognized.
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb33b07688190b78a70cf535c3efc completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5ccb28c8190a580767a57474557 completed April 5, 2026, 3:23 a.m.
NEDg Description generation batch_69d1d66e91c881909eae9d539f47bd99 completed April 5, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_69d1d6dc0bd8819082a5ad417ca87a76 completed April 5, 2026, 3:28 a.m.
Created at: March 30, 2026, 8:33 p.m.