Triple

T18093436
Position Surface form Disambiguated ID Type / Status
Subject Down by Law E433026 entity
Predicate stars P1956 FINISHED
Object John Lurie NE NERFINISHED

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: John Lurie | Statement: [Down by Law, stars, John Lurie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Lurie
Context triple: [Down by Law, stars, John Lurie]
  • A. John Lurie chosen
    John Lurie is an American musician, composer, and actor best known as the co-founder of the Lounge Lizards and for his distinctive film scores and roles in independent cinema.
  • B. Artie Lange
    Artie Lange is an American stand-up comedian, actor, and radio personality best known for his long-running role as a co-host on The Howard Stern Show and his work on sketch comedy series like Mad TV.
  • C. Doug Kenney
    Doug Kenney was an American comedy writer and editor best known as a co-founder of National Lampoon and a key creative force behind films like Animal House and Caddyshack.
  • D. David L. Lander
    David L. Lander was an American actor and comedian best known for playing the quirky character Andrew "Squiggy" Squiggman on the sitcom *Laverne & Shirley*.
  • E. Gregg Turkington
    Gregg Turkington is an American comedian, actor, and writer best known for his abrasive anti-comedy persona Neil Hamburger and his work on projects like "On Cinema."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd1a75048190924ebc01da83851b completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.