Triple
T18750844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Daniels |
E458519
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Daniels |
—
|
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: Daniels | Statement: [Jack Daniels, hasSurname, Daniels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniels Context triple: [Jack Daniels, hasSurname, Daniels]
-
A.
Daniels
chosen
Daniels is a common English-language surname borne by numerous notable individuals across politics, sports, entertainment, and other fields.
-
B.
دانيال
دانيال هو اسم علم مذكر شائع في العالم العربي والإسلامي، ذو أصول دينية وتاريخية مرتبطة بالنبي دانيال.
-
C.
McDaniels
McDaniels is a surname most notably associated with American professional basketball players, including Jalen McDaniels.
-
D.
Ben Daniels
Ben Daniels is an English actor known for his work in film, television, and theatre, including roles in projects such as the 2005 film adaptation of "Doom" and the series "The Exorcist" and "House of Cards."
-
E.
Denis
Denis is a masculine given name of French origin, famously borne by the Enlightenment philosopher Denis Diderot.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579ec71cc8190bb6d3fa6cca6dc8c |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:51 a.m.