Triple
T24599665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Casey |
E608786
|
entity |
| Predicate | coverPosition |
P156699
|
FINISHED |
| Object | home theater expert at Buy More |
—
|
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: home theater expert at Buy More | Statement: [John Casey, coverPosition, home theater expert at Buy More]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverPosition Context triple: [John Casey, coverPosition, home theater expert at Buy More]
-
A.
coverLocation
Indicates that one entity serves as a covering or protective layer positioned at or over a specific location of another entity.
-
B.
cover
Indicates that one entity extends over, conceals, protects, or provides a surface or layer for another entity.
-
C.
coverVersionBy
Indicates that one creative work is a cover version performed or produced by a particular artist or entity.
-
D.
coverText
Indicates that one text serves as the cover or front-facing textual representation for another work or resource.
-
E.
coversSection
Indicates that one entity includes, addresses, or provides content for a particular section of another entity.
- 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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:30 a.m.