Triple
T22255722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rattle and Hum |
E550089
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Paul Barrett |
—
|
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: Paul Barrett | Statement: [Rattle and Hum, producer, Paul Barrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Barrett Context triple: [Rattle and Hum, producer, Paul Barrett]
-
A.
Paul Barrett
Paul Barrett is a British paleontologist known for his research on dinosaur evolution and taxonomy, particularly ornithischian dinosaurs, and his work at the Natural History Museum in London.
-
B.
Paul Barrett
Paul Barrett is an actor known for his role in the historical drama film "The Ottoman Lieutenant."
-
C.
Paul Barrett
chosen
Paul Barrett is a music producer best known for his work on U2’s album and film project "Rattle and Hum."
-
D.
Sam Barrington
Sam Barrington is an American former NFL linebacker who played primarily for the Green Bay Packers after a standout college career at the University of South Florida.
-
E.
John Barrett
John Barrett was an actor who appeared in the 1978 animated film adaptation of "The Water Babies."
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c314308190a5eea84e1750158a |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.