Triple

T4763877
Position Surface form Disambiguated ID Type / Status
Subject Gentleman Jim E105761 entity
Predicate starring P1507 FINISHED
Object William Frawley E242217 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: William Frawley | Statement: [Gentleman Jim, starring, William Frawley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Frawley
Context triple: [Gentleman Jim, starring, William Frawley]
  • A. William Frawley chosen
    William Frawley was an American character actor best known for playing the gruff but lovable landlord Fred Mertz on the classic television sitcom "I Love Lucy."
  • B. Arthur H. Gorson
    Arthur H. Gorson is a film and music producer known for his work on projects such as the horror film "Cronos" and for collaborating with notable directors and musicians.
  • C. Harold Rowe Holbrook Jr.
    Harold Rowe Holbrook Jr. was an American actor best known for his acclaimed stage and screen portrayals of Mark Twain and numerous character roles in film and television.
  • D. Charles R. Ferrell
    Charles R. Ferrell was a key Baylor University figure and benefactor for whom the Ferrell Center arena in Waco, Texas, is named.
  • E. Gene Milford
    Gene Milford was an American film editor known for his work on numerous classic Hollywood films across several decades.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6530f0648190b76db9964471cfeb completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be778681e48190980996b7cf2f3b05 completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:20 p.m.