Triple

T11480465
Position Surface form Disambiguated ID Type / Status
Subject Phil Harris E272128 entity
Predicate associatedAct P37 FINISHED
Object Jack Benny E61535 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: Jack Benny | Statement: [Phil Harris, associatedAct, Jack Benny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Benny
Context triple: [Phil Harris, associatedAct, Jack Benny]
  • A. Jack Benny chosen
    Jack Benny was a pioneering American comedian, actor, and radio/television star renowned for his masterful timing, stingy persona, and influential deadpan style.
  • B. Fred Allen
    Fred Allen was an American film editor active in mid-20th-century cinema, known for his work on numerous Hollywood productions.
  • C. Fred Allen
    Fred Allen was a prominent American comedian and radio host best known for his witty, satirical radio programs during the 1930s and 1940s.
  • D. Red Skelton
    Red Skelton was a beloved American comedian, actor, and radio and television entertainer best known for his long-running TV variety show and iconic clown characters.
  • E. Milton Berle
    Milton Berle was an American comedian and actor widely known as one of television’s first major stars, often called “Mr. Television” for his pioneering role in early TV entertainment.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294f0e948190b2e106beb86e4b2c completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ee866bb71c819091573965f7cf0dee completed April 26, 2026, 9:40 p.m.
Created at: April 8, 2026, 9:36 p.m.