Triple
T10211581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Reckoning |
E242340
|
entity |
| Predicate | authorWorkNumber |
P92730
|
FINISHED |
| Object | John Grisham novel published in 2018 |
—
|
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: John Grisham novel published in 2018 | Statement: [The Reckoning, authorWorkNumber, John Grisham novel published in 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorWorkNumber Context triple: [The Reckoning, authorWorkNumber, John Grisham novel published in 2018]
-
A.
numberOfWorks
Indicates the total count of works associated with a given entity.
-
B.
workCatalogueNumberOfWork
Indicates the catalogue number assigned to a specific work within a cataloging or classification system.
-
C.
workOfAuthorOf
Indicates that one entity is a work (such as a book, article, or artwork) created by the author associated with another entity.
-
D.
numberOfWorksCreated
Indicates the total count of creative works that an entity has produced or authored.
-
E.
appearsInWorkNumber
Indicates that an entity is featured or occurs within a specific numbered work in a series or collection.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa22071c819095febd18dd607978 |
completed | April 6, 2026, 12:42 p.m. |
| PD | Predicate disambiguation | batch_69d39559e5ac8190b88eca75956b7e6a |
completed | April 6, 2026, 11:13 a.m. |
| PDg | Predicate description generation | batch_69d3aa208c248190a0fb186b106389f3 |
completed | April 6, 2026, 12:42 p.m. |
Created at: April 6, 2026, 11:01 a.m.