Triple
T13020435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Walsh |
E326156
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Walsh |
E105757
|
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: Walsh | Statement: [Matt Walsh, familyName, Walsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walsh Context triple: [Matt Walsh, familyName, Walsh]
-
A.
Walsh
chosen
Walsh is a common Irish-origin surname borne by numerous notable figures across fields such as film, politics, sports, and literature.
-
B.
Wallach
Wallach is a surname and given name of Germanic origin, historically associated with Central and Eastern Europe and borne by various notable figures in arts, science, and public life.
-
C.
Welch
Welch is a small city in southern West Virginia known historically as a coal-mining community and the county seat of McDowell County.
-
D.
Welch
Welch is a surname of English origin borne by various notable individuals across fields such as entertainment, science, and politics.
-
E.
Walston
Walston is the surname of American actor and comedian Ray Walston, best known for his roles in "My Favorite Martian" and "Picket Fences."
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecf21bc819082fb512bc479b4be |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c116423881908d0de1e04904fbc3 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:51 p.m.