Triple
T30176613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mario Mendell Brown |
E767076
|
entity |
| Predicate | usedSampleFrom |
P13406
|
FINISHED |
| Object | Enya - Boadicea |
—
|
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: Enya - Boadicea | Statement: [Mario Mendell Brown, usedSampleFrom, Enya - Boadicea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedSampleFrom Context triple: [Mario Mendell Brown, usedSampleFrom, Enya - Boadicea]
-
A.
usesSamplingOf
chosen
Indicates that one entity employs or relies on a sample or subset derived from another entity for its operation, analysis, or processing.
-
B.
usedDataFrom
Indicates that one entity utilized or relied on data originating from another entity.
-
C.
usedBefore
Indicates that one entity was utilized or applied prior to the use or occurrence of another entity.
-
D.
usedAt
Indicates that something is employed, applied, or utilized at a particular place, time, or context.
-
E.
usedResource
Indicates that an entity has utilized or consumed a particular resource in performing an action or achieving a result.
- 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_69f2247ba20c81909d34f2bfed706e1e |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f3e72a881909d0a9d0824e2c4ae |
completed | May 2, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:25 p.m.