Triple
T20449344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The FJ Holden |
E501605
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Garry McDonald |
—
|
NE NERFINISHED |
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: Garry McDonald | Statement: [The FJ Holden, musicBy, Garry McDonald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garry McDonald Context triple: [The FJ Holden, musicBy, Garry McDonald]
-
A.
Garry McDonald
chosen
Garry McDonald is an Australian actor and comedian best known for his satirical television character Norman Gunston and his work in film and TV drama.
-
B.
Jim Jefferies
Jim Jefferies is an Australian stand-up comedian, actor, and writer known for his dark, provocative humor and his television series "Legit" and "The Jim Jefferies Show."
-
C.
Rory Bremner
Rory Bremner is a British impressionist, comedian, and satirist best known for his sharp political impressions and television work.
-
D.
Michael McIntyre
Michael McIntyre is a music producer best known for his work on the Whitesnake album "Good to Be Bad."
-
E.
Michael McIntyre
Michael McIntyre is a British stand-up comedian and television presenter known for his high-energy observational comedy and popular arena tours.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cfffae4819086c727f4143c2737 |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.