Triple
T5266765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubeus Hagrid |
E118954
|
entity |
| Predicate | reasonForExpulsion |
P36603
|
FINISHED |
| Object | accused of opening the Chamber of Secrets |
—
|
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: accused of opening the Chamber of Secrets | Statement: [Rubeus Hagrid, reasonForExpulsion, accused of opening the Chamber of Secrets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForExpulsion Context triple: [Rubeus Hagrid, reasonForExpulsion, accused of opening the Chamber of Secrets]
-
A.
expulsionReason
chosen
Indicates the cause or justification for which an entity was expelled from a group, place, or institution.
-
B.
requestedExpulsionOf
Indicates that one entity formally asked an authority or relevant body to expel or remove another entity from a group, place, or organization.
-
C.
reasonForBan
Indicates the justification or cause that led to an entity being banned.
-
D.
reasonForExcommunication
Indicates the specific cause or grounds that led to an entity’s excommunication.
-
E.
expelledFrom
Indicates that an entity has been formally forced to leave or is removed from a place, organization, or institution, typically as a punishment or disciplinary action.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77c71268819094f9f5203eed392d |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:51 p.m.