Triple
T27037015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’Olive |
E681081
|
entity |
| Predicate | hasApproximateNumberOfSonnets |
P32364
|
FINISHED |
| Object | around 50 sonnets in early versions |
—
|
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: around 50 sonnets in early versions | Statement: [L’Olive, hasApproximateNumberOfSonnets, around 50 sonnets in early versions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfSonnets Context triple: [L’Olive, hasApproximateNumberOfSonnets, around 50 sonnets in early versions]
-
A.
numberOfSonnets
Indicates the quantity of sonnets associated with a given entity.
-
B.
containsNumberOfPoems
Indicates that one entity includes or specifies a particular quantity of poems associated with it.
-
C.
approximateNumberOfPoems
chosen
Indicates an estimated or roughly calculated count of poems associated with an entity.
-
D.
numberOfCantos
Indicates the total count of cantos associated with a given work or entity.
-
E.
notableSonnetGroup
Indicates that one entity is a notable or significant group or collection of sonnets associated with the other entity.
- 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 27, 2026, 7:16 a.m.