Triple
T9465255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Sweet Lord |
E228254
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Phil McDonald |
E445712
|
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: Phil McDonald | Statement: [My Sweet Lord, producer, Phil McDonald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil McDonald Context triple: [My Sweet Lord, producer, Phil McDonald]
-
A.
Phil McDonald
chosen
Phil McDonald is a British recording engineer best known for his work on classic Beatles sessions at Abbey Road Studios.
-
B.
Robert McDonald
Robert McDonald is a Canadian municipal politician who served as the mayor of Burnaby, British Columbia.
-
C.
Don MacMillan
Don MacMillan was a Canadian middle-distance runner known for his competitive performances in the 1950s, including appearances in high-profile mile races.
-
D.
Paul McDonald
Paul McDonald is an American singer-songwriter and former "American Idol" contestant known for his folk-rock style and distinctive raspy voice.
-
E.
Ray McDonald
Ray McDonald was an American actor and dancer known for his musical film roles in the 1940s and 1950s.
- 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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fdad3c4819083b06f1b45acc85a |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d178dbf13c8190a75c9e3aebb6f04c |
completed | April 4, 2026, 8:47 p.m. |
Created at: March 30, 2026, 7:53 p.m.