Triple
T20210607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hogwarts staff |
E493476
|
entity |
| Predicate | employsRole |
P44925
|
FINISHED |
| Object | Headmaster |
—
|
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: Headmaster | Statement: [Hogwarts staff, employsRole, Headmaster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employsRole Context triple: [Hogwarts staff, employsRole, Headmaster]
-
A.
employedRole
chosen
Indicates that an entity holds or performs a specific role or position within an employment or work context.
-
B.
sectorEmploymentRole
Indicates the specific role or function an entity holds within a particular employment sector or industry.
-
C.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
D.
hasIndustryRole
Indicates that an entity holds or performs a specific role, function, or position within a particular industry or sector.
-
E.
socialRoleInWork
Indicates the role or position an entity holds within a work-related or professional social 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed5691c8190bf253b1d4ee6e88f |
completed | April 20, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:38 p.m.