Triple

T6814310
Position Surface form Disambiguated ID Type / Status
Subject Brothers & Sisters E156713 entity
Predicate executiveProducer P7225 FINISHED
Object Ken Olin E318337 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: Ken Olin | Statement: [Brothers & Sisters, executiveProducer, Ken Olin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Olin
Context triple: [Brothers & Sisters, executiveProducer, Ken Olin]
  • A. Ken Olin chosen
    Ken Olin is an American actor, director, and television producer best known for his work on series such as "Thirtysomething" and "This Is Us."
  • B. Eric Erlandson
    Eric Erlandson is an American guitarist and songwriter best known as the lead guitarist and co-founder of the alternative rock band Hole.
  • C. Eric Bauza
    Eric Bauza is a Canadian voice actor and comedian best known for portraying iconic animated characters in modern Looney Tunes productions.
  • D. Joel Fry
    Joel Fry is a British actor and musician known for his roles in film and television, including appearances in projects like "Game of Thrones," "Cruella," and various UK comedies.
  • E. E. Alyn Warren
    E. Alyn Warren was an American character actor of the early 20th century, known for his frequent portrayals of Asian characters in Hollywood films.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d32c40508190932718a649fc1417 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723dd82048190969754b388a76913 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:17 p.m.