Triple
T22006305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airbourne |
E543456
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Joel O’Keeffe |
—
|
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: Joel O’Keeffe | Statement: [Airbourne, hasPart, Joel O’Keeffe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joel O’Keeffe Context triple: [Airbourne, hasPart, Joel O’Keeffe]
-
A.
Joel O’Keeffe
chosen
Joel O’Keeffe is an Australian hard rock singer and lead guitarist best known as the frontman of the band Airbourne.
-
B.
Miles O’Keeffe
Miles O’Keeffe is an American actor best known for his breakout role as Tarzan in the 1981 film "Tarzan, the Ape Man" and for appearing in various action and adventure movies during the 1980s.
-
C.
Joel Johnston
Joel Johnston is the son of English actress Sue Johnston, known for her roles in British television dramas and comedies.
-
D.
Ed O'Ross
Ed O'Ross is an American character actor known for his tough-guy roles in film and television, including appearances in movies like Full Metal Jacket, Red Heat, and Dick Tracy.
-
E.
Tim O'Kelly
Tim O'Kelly is an American actor best known for his role as the young police officer in Peter Bogdanovich's 1968 film "Targets."
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a0afa881908318a4ebe211ca28 |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:21 p.m.