Triple
T13403233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lew Welch |
E319886
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Welch |
E647743
|
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: Welch | Statement: [Lew Welch, familyName, Welch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Welch Context triple: [Lew Welch, familyName, Welch]
-
A.
Welch
chosen
Welch is a surname of English origin borne by various notable individuals across fields such as entertainment, science, and politics.
-
B.
Welch
Welch is a small city in southern West Virginia known historically as a coal-mining community and the county seat of McDowell County.
-
C.
Welchman
Welchman is a surname most notably associated with Gordon Welchman, a key British codebreaker at Bletchley Park during World War II.
-
D.
Dunnigan
Dunnigan is a small unincorporated community in Yolo County, California, known primarily as a rural agricultural area along Interstate 5.
-
E.
Wallesau
Wallesau is a village-level subdivision of the town of Roth in the Bavarian region of Germany.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4ae47081909b68a9aaa62fd4c7 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7307904608190ad647f741c08dc42 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.