Triple
T20867191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Danko |
E513794
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Danko |
—
|
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: Danko | Statement: [Rick Danko, familyName, Danko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danko Context triple: [Rick Danko, familyName, Danko]
-
A.
Danko
chosen
Danko is a surname most notably associated with Rick Danko, the Canadian musician and bassist for the influential rock group The Band.
-
B.
Fedka
Fedka is a Russian diminutive form of the male given name Fyodor.
-
C.
Yank
Yank is a central character in John Patrick's wartime drama "The Hasty Heart," portrayed as a tough, emotionally guarded American soldier whose interactions with fellow patients reveal his vulnerability and capacity for friendship.
-
D.
Dallet
Dallet is a French surname most notably associated with Joseph Dallet Jr., an American communist activist who fought and died in the Spanish Civil War.
-
E.
Donen
Donen is a surname most famously associated with Stanley Donen, the American film director and choreographer known for classic Hollywood musicals such as "Singin' in the Rain."
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c46174a08190bf4ffd2683e15d78 |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:45 p.m.