Triple
T28639356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quidditch Through the Ages |
E724875
|
entity |
| Predicate | hasFictionalPublisher |
P193467
|
FINISHED |
| Object | WhizzHard Books |
—
|
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: WhizzHard Books | Statement: [Quidditch Through the Ages, hasFictionalPublisher, WhizzHard Books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalPublisher Context triple: [Quidditch Through the Ages, hasFictionalPublisher, WhizzHard Books]
-
A.
fictionalPublisherType
Indicates the specific category or kind of publisher associated with a fictional work (e.g., imprint, label, or publishing division).
-
B.
hasFictionalPub
Indicates that an entity features or includes a fictional pub as part of its content, setting, or structure.
-
C.
hasFictionalAuthor
Indicates that one entity is the fictional or in-universe author of a work attributed to them.
-
D.
hasFictionalProductionCompany
Indicates that one entity is associated with or owns a production company that exists only within a fictional context.
-
E.
hasFictionalEditor
Indicates that an entity is associated with a fictional editor character responsible for editing or overseeing its content within a narrative or fictional context.
- 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69fd485e0c20819099756b4fe39ac326 |
completed | May 8, 2026, 2:20 a.m. |
Created at: April 28, 2026, 4:43 a.m.