Triple
T10258948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavier quartos |
E240544
|
entity |
| Predicate | arePrintedEditionsOf |
P72237
|
FINISHED |
| Object | plays attributed to William Shakespeare |
—
|
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: plays attributed to William Shakespeare | Statement: [Pavier quartos, arePrintedEditionsOf, plays attributed to William Shakespeare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arePrintedEditionsOf Context triple: [Pavier quartos, arePrintedEditionsOf, plays attributed to William Shakespeare]
-
A.
printedEditions
chosen
Indicates that one entity has produced or issued physical printed versions (editions) of another entity.
-
B.
printedFirstEditionOf
Indicates that the subject entity produced and issued the initial published edition of the object entity.
-
C.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
D.
hasEditionIn
Indicates that one entity has a specific edition or version that exists or is available in another entity (such as a particular format, language, or location).
-
E.
hasPublisher
Indicates that an entity is published or issued by a specific publisher.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:31 a.m.