Triple
T4760034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Works of William Shakespeare |
E105676
|
entity |
| Predicate | approximateNumberOfSonnets |
P22692
|
FINISHED |
| Object | 154 |
—
|
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: 154 | Statement: [Works of William Shakespeare, approximateNumberOfSonnets, 154]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfSonnets Context triple: [Works of William Shakespeare, approximateNumberOfSonnets, 154]
-
A.
numberOfSonnets
chosen
Indicates the quantity of sonnets associated with a given entity.
-
B.
approximateNumberOfPoems
Indicates an estimated or roughly calculated count of poems associated with an entity.
-
C.
containsNumberOfPoems
Indicates that one entity includes or specifies a particular quantity of poems associated with it.
-
D.
numberOfCantos
Indicates the total count of cantos associated with a given work or entity.
-
E.
approximateNumberOfVerses
Indicates an estimated or approximate count of verses associated with an 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650dc7fc81909b483ef3c456ae0d |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd6225c9488190afee5bb3619d0365 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.