Triple
T31839678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Grace |
E812769
|
entity |
| Predicate | bookSeriesPublisher |
P92830
|
FINISHED |
| Object | Simon & Schuster |
—
|
NE NERFINISHED |
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: Simon & Schuster | Statement: [Simon Grace, bookSeriesPublisher, Simon & Schuster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookSeriesPublisher Context triple: [Simon Grace, bookSeriesPublisher, Simon & Schuster]
-
A.
literarySeriesPublisher
Indicates the publishing company responsible for producing or releasing a given literary series.
-
B.
seriesAuthor
Indicates that an entity is the author or primary creator of a series (such as a book, comic, or media series).
-
C.
publisherOfSeries
chosen
Indicates that an entity serves as the publishing organization responsible for producing or distributing a particular series.
-
D.
hasNumberOfBooksInSeries
Indicates the quantity of books that belong to a particular series.
-
E.
documentsSeries
Indicates that one document belongs to, or is part of, a larger series of related documents.
- 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 30, 2026, 11:49 p.m.