Triple
T20473238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chocoballs |
E502246
|
entity |
| Predicate | targetConsumerInFiction |
P138908
|
FINISHED |
| Object | students of Hogwarts School of Witchcraft and Wizardry |
—
|
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: students of Hogwarts School of Witchcraft and Wizardry | Statement: [Chocoballs, targetConsumerInFiction, students of Hogwarts School of Witchcraft and Wizardry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetConsumerInFiction Context triple: [Chocoballs, targetConsumerInFiction, students of Hogwarts School of Witchcraft and Wizardry]
-
A.
targetInFiction
Indicates that one entity is the target or subject of an action, focus, or effect within a fictional work or narrative context.
-
B.
targetAudienceWithinFiction
chosen
Indicates that the intended audience of a work exists as characters or entities within the fictional world depicted by that work.
-
C.
targetsCharacter
Indicates that one entity is the intended focus or target of another entity’s action, effect, or behavior.
-
D.
createsInFiction
Indicates that one entity is the creator or originator of another entity within a fictional or narrative context.
-
E.
fictionalEntityType
Indicates that the subject is classified as a particular type or category of fictional entity within a narrative or imaginary context.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69962d810819091bb13fe73250e24 |
completed | April 20, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:33 a.m.