Triple
T15469888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coffee Town |
E372130
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Matt Walsh |
E326156
|
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: Matt Walsh | Statement: [Coffee Town, castMember, Matt Walsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Walsh Context triple: [Coffee Town, castMember, Matt Walsh]
-
A.
Matt Walsh
chosen
Matt Walsh is an American comedian and actor best known as a founding member of the Upright Citizens Brigade and for his role as Mike McLintock on the HBO series Veep.
-
B.
Sean Walsh
Sean Walsh is a common Irish name shared by several notable individuals across fields such as sports, politics, and media.
-
C.
Greg Walsh
Greg Walsh is a music producer best known for his work on Tina Turner’s landmark album "Private Dancer."
-
D.
Greg Walsh
Greg Walsh is the optimistic, well-meaning but often hapless news producer who serves as the central protagonist of the sitcom "Great News."
-
E.
Tom Walsh
Tom Walsh is a New Zealand shot putter and world champion known for his powerful throws and multiple international medals, including Olympic bronze.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6b49788190b270fdfe92646842 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d0543f881909dfbbc77f2a96a1a |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:33 a.m.