Triple
T21492392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Durning |
E530268
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Durning |
—
|
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: Durning | Statement: [Charles Durning, familyName, Durning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Durning Context triple: [Charles Durning, familyName, Durning]
-
A.
Durning
chosen
Durning is a surname most notably associated with American character actor Charles Durning, renowned for his prolific film and stage career.
-
B.
Durante
Durante is the birth name of the Italian poet Dante Alighieri, renowned author of the Divine Comedy.
-
C.
Durante
Durante is an Italian surname most famously associated with American entertainer Jimmy Durante, known for his gravelly voice, comedic persona, and distinctive large nose.
-
D.
Duingt
Duingt is a picturesque village in southeastern France on the shores of Lake Annecy, known for its lakeside chateau and scenic Alpine surroundings.
-
E.
Dimasa
Dimasa is a Tibeto-Burman language spoken primarily by the Dimasa people in parts of Northeast India, including the Barak Valley region.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea3ba2fc81909638bbb3e1d92ea5 |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:23 p.m.