Triple
T20211452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neville Longbottom |
E493494
|
entity |
| Predicate | receivesPointsFor |
P62973
|
FINISHED |
| Object | standing up to friends in first year |
—
|
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: standing up to friends in first year | Statement: [Neville Longbottom, receivesPointsFor, standing up to friends in first year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivesPointsFor Context triple: [Neville Longbottom, receivesPointsFor, standing up to friends in first year]
-
A.
pointsEarnedFrom
chosen
Indicates the number of points that an entity has received as a result of another specified source, action, or event.
-
B.
earnsMorePointsThan
Indicates that one entity receives a greater number of points than another entity in a given context or comparison.
-
C.
winnerPoints
Indicates the number of points earned by the winning participant or entity in a competition or event.
-
D.
usesPointsSystem
Indicates that an entity operates or functions based on a structured points-based system for evaluation, rewards, or progression.
-
E.
awardedForToReceive
Indicates that an entity is granted an award or recognition in order to receive it for a specific reason, achievement, or qualifying basis.
- 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.