Triple
T5128538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minerva McGonagall |
E115638
|
entity |
| Predicate | successorAsTransfigurationProfessor |
P62778
|
FINISHED |
| Object | unknown |
—
|
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: unknown | Statement: [Minerva McGonagall, successorAsTransfigurationProfessor, unknown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorAsTransfigurationProfessor Context triple: [Minerva McGonagall, successorAsTransfigurationProfessor, unknown]
-
A.
successor
Indicates that one entity directly follows another in an ordered sequence or position.
-
B.
successorInPractice
Indicates that one entity has taken over the role, position, or function of another in actual practice, even if not formally or officially designated as its successor.
-
C.
successorRole
Indicates that one role or position directly follows and replaces another in a sequence or organizational structure.
-
D.
successorSchoolHead
Indicates that one person becomes the next head (e.g., principal, headmaster) of a school after another person.
-
E.
successorAsGrandVizier
Indicates that one entity became the next Grand Vizier following another entity in that office.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7fef2e8c8190982dd67f50295ada |
completed | March 20, 2026, 5:12 p.m. |
| PD | Predicate disambiguation | batch_69bd77ac2fc48190abeebb003a82384c |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7fee42748190967013828973cce0 |
completed | March 20, 2026, 5:12 p.m. |
Created at: March 20, 2026, 1:42 p.m.