Triple

T19572033
Position Surface form Disambiguated ID Type / Status
Subject Road Trip E489740 entity
Predicate producer P490 FINISHED
Object Daniel Goldberg NE NERFINISHED

How this triple was built (2 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: Daniel Goldberg | Statement: [Road Trip, producer, Daniel Goldberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Goldberg
Context triple: [Road Trip, producer, Daniel Goldberg]
  • A. Daniel Goldberg chosen
    Daniel Goldberg is a Canadian film producer best known for his long-running collaboration with Ivan Reitman on comedies such as "Meatballs," "Stripes," and "Old School."
  • B. Martin Goldstein
    Martin Goldstein, nicknamed "Buggsy," was an American mobster and hitman associated with Murder, Inc. during the 1930s and 1940s.
  • C. Steven Goldberg
    Steven Goldberg was an American sociologist best known for his controversial theories on gender roles and male dominance.
  • D. Emanuel Goldenberg
    Emanuel Goldenberg, better known as Edward G. Robinson, was a Romanian-American actor famed for his tough-guy roles in classic Hollywood gangster films such as "Little Caesar."
  • E. Len Goldstein
    Len Goldstein is a television producer known for his executive production work on series such as "The Astronaut Wives Club."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402103208190b80acdfa82b7a9c4 completed April 20, 2026, 3:02 p.m.
Created at: April 10, 2026, 1:42 p.m.