Triple
T19582515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Barker |
E490030
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Arizona Donnie Clark |
—
|
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: Arizona Donnie Clark | Statement: [Kate Barker, givenName, Arizona Donnie Clark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arizona Donnie Clark Context triple: [Kate Barker, givenName, Arizona Donnie Clark]
-
A.
Arizona Donnie Clark
chosen
Arizona Donnie Clark, better known as Ma Barker, was an infamous early 20th-century American crime figure associated with the Barker–Karpis gang and popularly portrayed as its ruthless matriarch.
-
B.
Donnie Clark
Donnie Clark is a musician best known as a member of the country rock band Pure Prairie League.
-
C.
Donnie Morris
Donnie Morris is a central teenage character in the 2014 disaster film "Into the Storm," known for documenting the escalating tornado events on camera.
-
D.
Roger Donley
Roger Donley is a film editor known for his work on the animated feature "Snoopy, Come Home."
-
E.
Donnie Brooks
Donnie Brooks is a collegiate athletics administrator who serves as the athletic director for the College of Wooster Fighting Scots.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6404e18f88190b7fec59499dd25e8 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.