Triple
T9466208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Day Drinking |
E228276
|
entity |
| Predicate | hasHost |
P2592
|
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: [Day Drinking, hasHost, Seth Meyers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seth Meyers Context triple: [Day Drinking, hasHost, 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.
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.
-
E.
Jordan Klepper
Jordan Klepper is an American comedian and television host best known for his correspondent work on The Daily Show and his satirical political field pieces.
- 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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fdc08f08190ad17de08d2c2eca2 |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189e601508190b116fca9854057bc |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 7:53 p.m.