Triple

T20386814
Position Surface form Disambiguated ID Type / Status
Subject Paul E497980 entity
Predicate stars P1956 FINISHED
Object Joe Lo Truglio 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: Joe Lo Truglio | Statement: [Paul, stars, Joe Lo Truglio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Lo Truglio
Context triple: [Paul, stars, Joe Lo Truglio]
  • A. Joe Lo Truglio chosen
    Joe Lo Truglio is an American actor and comedian best known for his role as the earnest, quirky detective Charles Boyle on the television sitcom "Brooklyn Nine-Nine."
  • B. Chris Kattan
    Chris Kattan is an American comedian and actor best known for his work on "Saturday Night Live" and roles in films like "A Night at the Roxbury."
  • C. Jeremy Sisto
    Jeremy Sisto is an American actor known for his roles in film and television, including prominent parts in projects like the teen comedy "Clueless" and the crime drama series "Law & Order."
  • D. Matt LeBlanc
    Matt LeBlanc is an American actor best known for playing the lovable, dim-witted Joey Tribbiani on the hit sitcom "Friends" and its spin-off "Joey."
  • E. Ray Romano
    Ray Romano is an American stand-up comedian and actor best known for creating and starring in the hit sitcom "Everybody Loves Raymond."
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790bcef481909453d19c846ab420 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.