Triple
T9683174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Jones |
E234337
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | George Glenn 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 Glenn Jones | Statement: [George Jones, fullName, George Glenn Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Glenn Jones Context triple: [George Jones, fullName, George Glenn Jones]
-
A.
George Jones
George Jones was a 19th-century American journalist and publisher best known as a co-founder of The New York Times.
-
B.
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."
-
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.
Johnny Morris
Johnny Morris is an American businessman and conservationist best known as the founder of the outdoor retail giant Bass Pro Shops.
-
E.
Will Jennings
Will Jennings is an American songwriter and lyricist best known for penning the lyrics to numerous hit songs, including the Oscar-winning "My Heart Will Go On" from Titanic.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9ccdbcc48190a4a9a70b3f419ac2 |
completed | April 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1910192e88190b10409ae62c1c948 |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:16 p.m.