Triple
T5183140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Severus Snape |
E116966
|
entity |
| Predicate | studentEra |
P61947
|
FINISHED |
| Object | same era as James Potter and Lily Evans |
—
|
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: same era as James Potter and Lily Evans | Statement: [Severus Snape, studentEra, same era as James Potter and Lily Evans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentEra Context triple: [Severus Snape, studentEra, same era as James Potter and Lily Evans]
-
A.
schoolYear
Indicates the academic year or grade level in which an entity (typically a student or class) is situated within an educational system.
-
B.
studiedUnder
Indicates that one entity received instruction, training, or mentorship from another, typically in an academic or apprenticeship context.
-
C.
educationalStages
Indicates the ordered levels or phases within an education system that a learner progresses through.
-
D.
studentOrAssistant
Indicates that an individual has the role of either a student or an assistant in a given context or relationship.
-
E.
educationStartTime
Indicates the point in time when an educational activity, program, or enrollment for an entity begins.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799d50388190bf2b7dfdd90949e9 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b7e8b4819092ec3965e11f2dea |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd78d6a1388190804dcf568ca92129 |
completed | March 20, 2026, 4:41 p.m. |
Created at: March 20, 2026, 1:46 p.m.