Triple
T23305333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Zizzo |
E590420
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object | Duncan Sheik |
—
|
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: Duncan Sheik | Statement: [Peter Zizzo, hasCollaboratedWith, Duncan Sheik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duncan Sheik Context triple: [Peter Zizzo, hasCollaboratedWith, Duncan Sheik]
-
A.
Duncan Sheik
chosen
Duncan Sheik is an American singer-songwriter and composer best known for his hit single "Barely Breathing" and his Tony Award-winning score for the Broadway musical Spring Awakening.
-
B.
Daniel Powter
Daniel Powter is a Canadian singer-songwriter best known for his mid-2000s pop hit "Bad Day."
-
C.
Scott Litt
Scott Litt is an American record producer and engineer best known for his influential work with alternative rock bands such as R.E.M. and Nirvana.
-
D.
Josh Rouse
Josh Rouse is an American singer-songwriter known for his melodic, folk-influenced indie pop and introspective lyrics.
-
E.
Curt Cress
Curt Cress is a German drummer, composer, and producer known for his prolific session work and contributions to jazz-rock and pop music since the 1970s.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19725b248819089e61efb82e3440f |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.