Triple
T8696423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On the Line |
E206414
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Ryan Adams |
E109804
|
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: Ryan Adams | Statement: [On the Line, producer, Ryan Adams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Adams Context triple: [On the Line, producer, Ryan Adams]
-
A.
Ryan Adams
chosen
Ryan Adams is an American singer-songwriter, musician, and record producer known for his prolific output and contributions to alternative country and rock music.
-
B.
Cam Guthrie
Cam Guthrie is a Canadian politician best known as the long-serving mayor of the city of Guelph, Ontario.
-
C.
Ben Harper
Ben Harper is an American singer-songwriter and multi-instrumentalist known for blending folk, blues, rock, and reggae influences in his music.
-
D.
Ben Harper
Ben Harper was a prominent 19th-century American businessman and politician from Rock Island, Illinois, known for his civic leadership and local influence.
-
E.
Ray LaMontagne
Ray LaMontagne is an American singer-songwriter known for his raspy, soulful voice and folk-influenced acoustic music.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc582b04688190a439135b08e20451 |
completed | March 31, 2026, 11:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28958ba481908383e31802ce2093 |
completed | April 3, 2026, 2:40 a.m. |
Created at: March 30, 2026, 6:34 p.m.