Triple
T36135452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drearcliff Grange School series |
E1045152
|
entity |
| Predicate | hasMainCharacterClass |
P185186
|
FINISHED |
| Object | girls with extraordinary abilities |
—
|
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: girls with extraordinary abilities | Statement: [Drearcliff Grange School series, hasMainCharacterClass, girls with extraordinary abilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainCharacterClass Context triple: [Drearcliff Grange School series, hasMainCharacterClass, girls with extraordinary abilities]
-
A.
hasProtagonistClass
chosen
Indicates that a work’s main character belongs to a specified class or category.
-
B.
hasPrimaryCharacter
Indicates that an entity features another entity as its main or central character.
-
C.
hasMainCharacterFrom
Indicates that a work of fiction has a main character who originates from or belongs to a specified place, group, or source.
-
D.
hasMainProtagonistTrait
Indicates that the specified trait is a defining or primary characteristic of the main protagonist.
-
E.
hasMainCharactersType
Indicates that the primary characters involved in something (such as a story or work) belong to a specified type or category.
- 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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a031c6c728c81909c1d010048df71c3 |
completed | May 12, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_6a031bfc3b74819098c551096b1fcf00 |
completed | May 12, 2026, 12:24 p.m. |
Created at: May 3, 2026, 4:08 p.m.