Triple

T3818876
Position Surface form Disambiguated ID Type / Status
Subject Barney Fife E84322 entity
Predicate creator P184 FINISHED
Object Aaron Ruben E115416 NE FINISHED

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: Aaron Ruben | Statement: [Barney Fife, creator, Aaron Ruben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aaron Ruben
Context triple: [Barney Fife, creator, Aaron Ruben]
  • A. Aaron Ruben chosen
    Aaron Ruben was an American television producer, director, and writer best known for his influential work on classic sitcoms such as The Andy Griffith Show.
  • B. Jason Rubin
    Jason Rubin is an American video game designer and co-founder of Naughty Dog, best known for his work on the Crash Bandicoot series.
  • C. Danny Rubin
    Danny Rubin is an American screenwriter best known for co-writing the acclaimed 1993 comedy film "Groundhog Day."
  • D. Jon Rubinstein
    Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
  • E. David Rubin
    David Rubin is one of the children of pioneering American astronomer Vera Rubin, known for her groundbreaking work on galaxy rotation curves and dark matter.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea5e41ec81908ed7e1ccc2713622 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c732504819087ccfd22ac6ab1c8 completed March 14, 2026, 8:29 a.m.
Created at: March 9, 2026, 3:17 p.m.