Triple
T35184747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of the Roses |
E1015954
|
entity |
| Predicate | basedOnMessagesReceivedBy |
P199032
|
FINISHED |
| Object | Frances Octavia Smith |
—
|
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: Frances Octavia Smith | Statement: [Our Lady of the Roses, basedOnMessagesReceivedBy, Frances Octavia Smith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnMessagesReceivedBy Context triple: [Our Lady of the Roses, basedOnMessagesReceivedBy, Frances Octavia Smith]
-
A.
basedOnChannel
Indicates that something is determined, derived, or decided according to a particular channel as its basis or reference.
-
B.
basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
C.
basedOnStrategyOf
Indicates that one entity’s strategy is derived from, influenced by, or constructed using the strategy of another entity.
-
D.
basedOnSubject
Indicates that something is derived from, influenced by, or determined according to a particular subject.
-
E.
basedOnProcess
Indicates that something is derived from, determined by, or dependent on a particular process or sequence of actions.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff1ba8694481909ceb36f26ca85612 |
completed | May 9, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69ff1b27f0f08190a9e74308c5b3d1ba |
completed | May 9, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69ff1ba7494481908678a7a0f93dbd03 |
completed | May 9, 2026, 11:33 a.m. |
Created at: May 3, 2026, 4:02 p.m.