Triple
T22678140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mrs Eaves |
E560402
|
entity |
| Predicate | availableStyle |
P89719
|
FINISHED |
| Object | roman |
—
|
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: roman | Statement: [Mrs Eaves, availableStyle, roman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: availableStyle Context triple: [Mrs Eaves, availableStyle, roman]
-
A.
styleVariants
chosen
Indicates that an entity has alternative stylistic forms or versions related to it.
-
B.
containsArrangementsStyle
Indicates that one entity includes or features musical arrangements characterized by a particular style or stylistic approach.
-
C.
styleFor
Indicates a relationship where one entity defines, specifies, or is used as the style or styling configuration applied to another entity.
-
D.
availableInSize
Indicates that something is offered or can be obtained in a particular size.
-
E.
offersBodyStyle
Indicates that an entity (such as a manufacturer or model line) makes a particular vehicle body style available as an option.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785d93e48190b37d11642b0cb123 |
completed | April 29, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:11 p.m.