Triple
T18919860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davie |
E462820
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Davy |
—
|
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: Davy | Statement: [Davie, hasSpellingVariant, Davy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Davy Context triple: [Davie, hasSpellingVariant, Davy]
-
A.
Davy
chosen
Davy is a familiar diminutive form of the given name David, often used as a casual or affectionate nickname.
-
B.
Davy
Davy is a central character in the stage musical "Sunshine on Leith," which follows his life, relationships, and emotional journey set to the music of The Proclaimers.
-
C.
Jack Darby
Jack Darby is a teenage human ally of the Autobots and one of the main protagonists in the animated series Transformers: Prime.
-
D.
James Crabe
James Crabe was an American cinematographer best known for his work on influential films of the 1970s and 1980s, including the original Rocky.
-
E.
Henry Limpet
Henry Limpet is a timid, nearsighted Brooklyn bookkeeper who magically transforms into a talking fish and becomes an unlikely World War II hero in the film "The Incredible Mr. Limpet."
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c62a264c81909f6d5df841486efc |
completed | April 20, 2026, 6:22 a.m. |
Created at: April 10, 2026, 11:59 a.m.