Triple

T6629815
Position Surface form Disambiguated ID Type / Status
Subject Jonathan Lynn E149892 entity
Predicate directed P7373 FINISHED
Object Sgt. Bilko E542180 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: Sgt. Bilko | Statement: [Jonathan Lynn, directed, Sgt. Bilko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sgt. Bilko
Context triple: [Jonathan Lynn, directed, Sgt. Bilko]
  • A. Sergeant Bilko chosen
    Sergeant Bilko is a classic American television sitcom character, a fast-talking, scheming Army sergeant known for his comedic cons and leadership of a misfit platoon.
  • B. Dobie Gillis
    Dobie Gillis is a fictional American teenager best known as the charming, often lovestruck protagonist of Max Shulman’s stories and the 1950s–60s TV series "The Many Loves of Dobie Gillis."
  • C. Magoo
    Magoo was an American rapper best known as one half of the hip hop duo Timbaland & Magoo, active in the late 1990s and early 2000s.
  • D. Goober Pyle
    Goober Pyle is a bumbling yet lovable auto mechanic and comic relief character from the classic television series "The Andy Griffith Show" and its spin-offs.
  • E. Barbera
    Barbera is a dark-skinned Italian wine grape variety known for producing deeply colored, high-acid red wines, especially in the Piedmont region.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa5c9b48190b645be96d446d0ca completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7918c208190924c1906c7886a2c completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 1:59 p.m.