Triple
T20306590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Beekeeper |
E510123
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Damien Rice |
—
|
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: Damien Rice | Statement: [The Beekeeper, featuresArtist, Damien Rice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damien Rice Context triple: [The Beekeeper, featuresArtist, Damien Rice]
-
A.
Damien Rice
chosen
Damien Rice is an Irish singer-songwriter known for his emotionally raw, acoustic folk music and critically acclaimed albums like "O" and "9."
-
B.
Glen Hansard
Glen Hansard is an Irish singer-songwriter and actor best known as the frontman of The Frames and for his Oscar-winning role and music in the film "Once."
-
C.
Fionn Regan
Fionn Regan is an Irish folk singer-songwriter and musician known for his poetic lyrics and critically acclaimed debut album "The End of History."
-
D.
Ray LaMontagne
Ray LaMontagne is an American singer-songwriter known for his raspy, soulful voice and folk-influenced acoustic music.
-
E.
Ben Harper
Ben Harper is an American singer-songwriter and multi-instrumentalist known for blending folk, blues, rock, and reggae influences in his music.
- 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_69e0b4c7491c8190961113c4283b10b0 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6774068c08190824fa55438bab712 |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:18 a.m.