Triple
T27132409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Da Vinci’s Inquest |
E681593
|
entity |
| Predicate | Larry CampbellOccupation |
P161878
|
FINISHED |
| Object | former Vancouver coroner |
—
|
LITERAL FINISHED |
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: former Vancouver coroner | Statement: [Da Vinci’s Inquest, Larry CampbellOccupation, former Vancouver coroner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Larry CampbellOccupation Context triple: [Da Vinci’s Inquest, Larry CampbellOccupation, former Vancouver coroner]
-
A.
performerRole_Denny Laine
Indicates that the entity participated as a performer specifically in the role associated with Denny Laine (e.g., performing parts or functions attributed to Denny Laine).
-
B.
artistOccupation
Indicates the professional role or job that an artist holds or performs.
-
C.
hasGuitarist
Indicates that an entity has, employs, or is associated with a guitarist as part of it.
-
D.
Larry Schemel
Indicates a relationship or association involving the person named Larry Schemel, such as authorship, participation, or attribution in a given context.
-
E.
hasSongwriterOccupation
Indicates that an entity’s occupation or professional role is that of a songwriter.
- F. None of above. chosen
Provenance (4 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6247832a48190b820e8c0c22ff5db |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fa35ac48190890102c348ed81a0 |
completed | May 2, 2026, 4 p.m. |
Created at: April 27, 2026, 9:05 a.m.