Triple
T37459945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Widow Faerlina |
E930892
|
entity |
| Predicate | primarySchoolOfMagic |
P188175
|
FINISHED |
| Object | shadow magic |
—
|
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: shadow magic | Statement: [Grand Widow Faerlina, primarySchoolOfMagic, shadow magic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySchoolOfMagic Context triple: [Grand Widow Faerlina, primarySchoolOfMagic, shadow magic]
-
A.
secondarySchoolOfMagic
Indicates that one entity is the secondary or additional school of magic associated with another entity, such as a character or spell.
-
B.
schoolOfMagic
chosen
Indicates that one entity is a school or discipline of magic to which the other entity belongs or is associated.
-
C.
yearAtHogwarts
Indicates the specific academic year or level a person is in during their time at Hogwarts.
-
D.
houseAtHogwarts
Indicates that an entity belongs to or is assigned to a particular house at Hogwarts.
-
E.
positionAtHogwarts
Indicates that an entity holds a specific role, job, or official position at Hogwarts.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.