Triple
T22884963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny |
E567577
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Dannie |
—
|
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: Dannie | Statement: [Danny, hasVariantSpelling, Dannie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dannie Context triple: [Danny, hasVariantSpelling, Dannie]
-
A.
Dannie
chosen
Dannie is a given name most notably associated with the industrialist and philanthropist Dannie Heineman.
-
B.
Dana Dane
Dana Dane is an American rapper and storyteller known for his humorous narrative style and influential 1980s hip-hop tracks like "Cinderfella Dana Dane."
-
C.
Dennis
Dennis is a character associated with Brewis, likely appearing as an ally in the same fictional or narrative context.
-
D.
Dennis
Dennis is a central character in the film "Savages," involved in the violent and high-stakes world of drug trafficking.
-
E.
Dennis
Dennis is the name of a notably destructive Atlantic hurricane whose impact led to its retirement from future storm name lists.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fbfc5848190aa612ea51df5a9ec |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.