Triple
T23239023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth Welsh |
E581382
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Devon Welsh |
—
|
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: Devon Welsh | Statement: [Kenneth Welsh, hasRelative, Devon Welsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devon Welsh Context triple: [Kenneth Welsh, hasRelative, Devon Welsh]
-
A.
Devon Welsh
chosen
Devon Welsh is a Canadian musician and singer-songwriter best known as the former frontman of the art-pop project Majical Cloudz.
-
B.
Devon Stockard
Devon Stockard is the young, affluent girl at the center of the film "Lawn Dogs," whose unlikely friendship with a working-class landscaper drives the movie’s exploration of class and innocence.
-
C.
Devon Murray
Devon Murray is an Irish actor best known for playing Seamus Finnigan in the Harry Potter film series.
-
D.
Devon Woodcomb
Devon Woodcomb is a charming, athletic, and good-natured doctor known as "Captain Awesome" on the television series *Chuck*.
-
E.
Devon Archer
Devon Archer is an American businessman and former business partner of Hunter Biden who has been involved in various investment ventures and political fundraising activities.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192ebaef4819083a7805537ad993f |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:10 p.m.