Triple

T13859128
Position Surface form Disambiguated ID Type / Status
Subject Yes Please E333140 entity
Predicate hasContributor P4244 FINISHED
Object Seth Meyers E228269 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: Seth Meyers | Statement: [Yes Please, hasContributor, Seth Meyers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seth Meyers
Context triple: [Yes Please, hasContributor, Seth Meyers]
  • A. Seth Meyers chosen
    Seth Meyers is an American comedian, writer, and television host best known for his work on "Saturday Night Live" and for hosting the late-night talk show "Late Night with Seth Meyers."
  • B. Jimmy Fallon
    Jimmy Fallon is an American comedian, actor, and television host best known for hosting NBC’s "The Tonight Show Starring Jimmy Fallon."
  • C. Kevin Maher
    Kevin Maher is an English former professional footballer and current football manager best known for his long association with Southend United.
  • D. Sean Maher
    Sean Maher is an American actor best known for playing Dr. Simon Tam in the television series "Firefly" and its film continuation "Serenity."
  • E. Jimmy Kimmel
    Jimmy Kimmel is an American television host, comedian, writer, and producer best known for hosting the late-night talk show "Jimmy Kimmel Live!" on ABC.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02de38e48190b6ead95561031c32 completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0fd3ffc8190965a730843411b80 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.