Triple

T16283799
Position Surface form Disambiguated ID Type / Status
Subject Jeffrey Ross E395335 entity
Predicate name P16 FINISHED
Object Jeffrey Ross E395335 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: Jeffrey Ross | Statement: [Jeffrey Ross, name, Jeffrey Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeffrey Ross
Context triple: [Jeffrey Ross, name, Jeffrey Ross]
  • A. Jeffrey Ross chosen
    Jeffrey Ross is an American stand-up comedian and "Roastmaster" best known for his insult comedy and frequent appearances on Comedy Central roasts.
  • B. Louie Anderson
    Louie Anderson was an American stand-up comedian and actor known for his warm, self-deprecating humor, his Emmy-winning role on the TV series "Baskets," and his work in both film and television.
  • C. Leslie Jordan
    Leslie Jordan was an Emmy-winning American actor and comedian known for his distinctive Southern charm and scene-stealing roles in television, film, and theater.
  • D. Kevin Allen
    Kevin Allen is a British actor and director known for his work in film and television, including directing the cult comedy "Twin Town."
  • E. Michael Ian Black
    Michael Ian Black is an American comedian, actor, writer, and director known for his work on "The State," "Stella," and numerous stand-up and television appearances.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24912c5808190a0d9c9f491315068 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f93240881909d0beaddc92f0ad5 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:05 a.m.