Triple
T11794732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fables |
E280474
|
entity |
| Predicate | publisherLine |
P641
|
FINISHED |
| Object | mature 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: mature readers | Statement: [Fables, publisherLine, mature readers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publisherLine Context triple: [Fables, publisherLine, mature readers]
-
A.
publisherParentCompany
Indicates that one company serves as the parent (owning or controlling) company of a given publisher.
-
B.
publisherType
chosen
Indicates the classification or category of a publisher in relation to a published work or entity.
-
C.
publisherCollectiveName
Indicates the collective or group name under which the publisher is identified or operates.
-
D.
publisherOfSeries
Indicates that an entity serves as the publishing organization responsible for producing or distributing a particular series.
-
E.
publisherPerson
Indicates that a person serves as the publisher (the individual responsible for issuing or releasing) of a given work or resource.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a082d08190a42541396a06ed98 |
completed | April 10, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69d8a2491f048190853239bc05090bf4 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.