Triple
T10874626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncloudy Day |
E256748
|
entity |
| Predicate | hasNotableRecordingBy |
P1152
|
FINISHED |
| Object | George Jones |
E234337
|
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: George Jones | Statement: [Uncloudy Day, hasNotableRecordingBy, George Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Jones Context triple: [Uncloudy Day, hasNotableRecordingBy, George Jones]
-
A.
George Jones
chosen
George Jones was an American country music singer renowned for his emotive voice and classic hits like "He Stopped Loving Her Today."
-
B.
George Jones
George Jones was a 19th-century American journalist and publisher best known as a co-founder of The New York Times.
-
C.
Don Gibson
Don Gibson was an influential American country music singer-songwriter known for classics like "Oh Lonesome Me" and "I Can't Stop Loving You."
-
D.
Eddy Arnold
Eddy Arnold was an influential American country music singer and songwriter whose smooth style and crossover hits helped popularize the Nashville sound in the mid-20th century.
-
E.
Don Gibbs
Don Gibbs is an architect known for designing the Walter Pyramid, a prominent multi-purpose arena at California State University, Long Beach.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7518a1db08190abf0c524b81487fa |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f12f646ec88190ab4745c52798b599 |
completed | April 28, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:21 p.m.