Triple
T21285955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronald Hines |
E524658
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ronald Hines |
—
|
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: Ronald Hines | Statement: [Ronald Hines, name, Ronald Hines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronald Hines Context triple: [Ronald Hines, name, Ronald Hines]
-
A.
Ronald Hines
chosen
Ronald Hines was a British character actor known for his extensive work in film and television from the mid-20th century onward.
-
B.
Bob Hines
Bob Hines was an American wildlife artist and illustrator renowned for his detailed depictions of nature in scientific and environmental publications.
-
C.
Joe Hinton
Joe Hinton was an American soul and R&B singer of the 1960s best known for his hit rendition of “Funny How Time Slips Away.”
-
D.
Rodney Huddleston
Rodney Huddleston is a British linguist and grammarian best known as a principal author of the influential reference work *The Cambridge Grammar of the English Language*.
-
E.
Ronald Lawrence
Ronald Lawrence is an author known for his work on the book "Hypnotize."
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d658e08190ad2f267123d53ede |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.