Triple

T6449026
Position Surface form Disambiguated ID Type / Status
Subject Pickup on South Street E139815 entity
Predicate castMember P1668 FINISHED
Object Parley Baer E241480 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: Parley Baer | Statement: [Pickup on South Street, castMember, Parley Baer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parley Baer
Context triple: [Pickup on South Street, castMember, Parley Baer]
  • A. Parley Baer chosen
    Parley Baer was an American character actor known for his extensive work in radio, television, and film from the mid-20th century onward.
  • B. Henry Baerer
    Henry Baerer was a German-American sculptor known for creating notable public monuments and statues in the United States during the late 19th century.
  • C. Ralph Berkowitz
    Ralph Berkowitz was an American pianist, accompanist, and arts administrator known for his influential work in classical music performance and education.
  • D. Larry Berg
    Larry Berg is an American businessman and investor best known as a principal owner of Major League Soccer club Los Angeles FC.
  • E. Neal Baer
    Neal Baer is an American television writer, producer, and former pediatrician best known for his work on medical and crime dramas such as ER and Law & Order: Special Victims Unit.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069b1a61c81908610264c098d25b0 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bd290c481909f543cc03eee98bf completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:47 p.m.