Triple
T31839672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Grace |
E812769
|
entity |
| Predicate | bookSeriesTargetAudience |
P129256
|
FINISHED |
| Object | middle grade readers |
—
|
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: middle grade readers | Statement: [Simon Grace, bookSeriesTargetAudience, middle grade readers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bookSeriesTargetAudience Context triple: [Simon Grace, bookSeriesTargetAudience, middle grade readers]
-
A.
intendedAudienceOfSeries
chosen
Indicates that a particular audience is the primary target or intended recipient of a given series.
-
B.
book3Audience
Indicates that a particular book is intended for or targeted toward a specific audience.
-
C.
literarySeriesGenre
Indicates that a literary series belongs to or is categorized under a particular genre.
-
D.
literarySeriesType
Indicates the specific kind or category of a literary series that an entity belongs to or is characterized as.
-
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_69f6aff758708190b6178dcf92ece7da |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:49 p.m.