Triple
T12550679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scobie |
E300087
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Scobbie |
E300087
|
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: Scobbie | Statement: [Scobie, hasVariant, Scobbie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scobbie Context triple: [Scobie, hasVariant, Scobbie]
-
A.
Scobie
chosen
Scobie is a surname of Scottish origin borne by various notable individuals in fields such as the military, politics, and the arts.
-
B.
Rescobie
Rescobie is a small rural village in the Angus council area of eastern Scotland, known for its proximity to Rescobie Loch and its agricultural surroundings.
-
C.
Hughie
Hughie is a diminutive or affectionate form of the given name Hugh, often used as a nickname.
-
D.
Boob McNutt
Boob McNutt is a classic American comic strip character created by cartoonist Rube Goldberg, known for his absurd adventures and slapstick humor.
-
E.
Mr. Scogan
Mr. Scogan is a cynical, intellectually sharp, and satirical commentator on society and progress in Aldous Huxley’s novel "Crome Yellow."
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95482c1348190b6f964decef5cc0a |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655853ecc8190b178a489d806a0c4 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:58 p.m.