Triple
T9535481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good News (1947 film) |
E230003
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ray McDonald |
E174677
|
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: Ray McDonald | Statement: [Good News (1947 film), starring, Ray McDonald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray McDonald Context triple: [Good News (1947 film), starring, Ray McDonald]
-
A.
Ray McDonald
chosen
Ray McDonald was an American actor and dancer known for his musical film roles in the 1940s and 1950s.
-
B.
Ray McKinnon
Ray McKinnon is an American actor, writer, producer, and director known for his character roles in film and television and for creating the acclaimed series "Rectify."
-
C.
Robert McDonald
Robert McDonald is a Canadian municipal politician who served as the mayor of Burnaby, British Columbia.
-
D.
Brian McDonald
Brian McDonald is a name shared by several notable individuals, including professionals in fields such as sports, writing, and entertainment.
-
E.
Phil McDonald
Phil McDonald is a British recording engineer best known for his work on classic Beatles sessions at Abbey Road Studios.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98cd6a5c8190835c0910ec38ede3 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18211c1408190806823e93932c64c |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 8 p.m.