Triple
T21130326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilmore |
E520667
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Larry Wilmore |
—
|
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: Larry Wilmore | Statement: [Wilmore, hasNotableBearer, Larry Wilmore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Wilmore Context triple: [Wilmore, hasNotableBearer, Larry Wilmore]
-
A.
Larry Wilmore
chosen
Larry Wilmore is an American comedian, writer, producer, and television host known for his sharp political satire and work on shows like The Daily Show and The Nightly Show.
-
B.
Anthony Nance
Anthony Nance is a music producer best known for his work on the track "Anytime."
-
C.
Tavis Smiley
Tavis Smiley is an American talk show host, author, and political commentator known for his public affairs programs on television and radio.
-
D.
Charles M. Blow
Charles M. Blow is an American journalist, op-ed columnist for The New York Times, and author known for his commentary on politics, race, and social justice.
-
E.
Trevor Noah
Trevor Noah is a South African comedian, writer, and television host best known for anchoring Comedy Central’s satirical news program "The Daily Show."
- 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723556ec08190a2ade96c76f9cec7 |
completed | April 21, 2026, 7:12 a.m. |
Created at: April 16, 2026, 2:56 p.m.