Triple
T7675508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patsy Cline |
E173850
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Patsy |
E475130
|
NE FINISHED |
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: Patsy | Statement: [Patsy Cline, hasGivenName, Patsy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patsy Context triple: [Patsy Cline, hasGivenName, Patsy]
-
A.
Patsy
chosen
Patsy is a given name commonly used as a diminutive of Patrick or Patricia in English-speaking contexts.
-
B.
Patsy Sutton
Patsy Sutton was the longtime wife and partner of Hall of Fame college basketball coach Eddie Sutton, known for her supportive role throughout his coaching career.
-
C.
Patsy Kelly
Patsy Kelly was an American actress and comedian known for her wisecracking roles in 1930s comedies and later character parts in film, television, and stage.
-
D.
Patty
Patty is a supporting character in the Peanuts comic strip, known as one of the original children in Charlie Brown’s neighborhood.
-
E.
Patti
Patti is a historic town in the Tarn Taran district of Punjab, India, known for its agricultural surroundings and cultural heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701e333f08190a9ee87080c6d0118 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be205b848190a850abc3f5ac4ef3 |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 4:01 p.m.