Triple
T36860539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dana Stinson |
E910921
|
entity |
| Predicate | producedTrackFor |
P148003
|
FINISHED |
| Object | album "Blackout!" |
—
|
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: album "Blackout!" | Statement: [Dana Stinson, producedTrackFor, album "Blackout!"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedTrackFor Context triple: [Dana Stinson, producedTrackFor, album "Blackout!"]
-
A.
producedRecording
chosen
Indicates that one entity served as the producer responsible for creating or overseeing the making of a particular recording.
-
B.
producedAs
Indicates that one entity is created, generated, or brought into existence as a result or output of another entity or process.
-
C.
composedTrackType
Indicates that one entity is a track whose type or category is defined or characterized by another entity.
-
D.
producedHitFor
Indicates that one entity created or contributed to a successful or popular work (a "hit") for another entity.
-
E.
sampledTrack
Indicates that one track incorporates audio sampled from another track.
- F. None of above.
Provenance (3 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_69f76e80f6f0819091cba8e19b269615 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
Created at: May 3, 2026, 4:13 p.m.