Triple
T19985568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muggle Studies |
E493921
|
entity |
| Predicate | changedDuring |
P98606
|
FINISHED |
| Object | Voldemort’s control of Hogwarts |
—
|
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: Voldemort’s control of Hogwarts | Statement: [Muggle Studies, changedDuring, Voldemort’s control of Hogwarts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changedDuring Context triple: [Muggle Studies, changedDuring, Voldemort’s control of Hogwarts]
-
A.
changedAfter
Indicates that one entity underwent a change at a point in time that is later than the time at which another referenced entity changed.
-
B.
changedFrom
Indicates that an entity previously had one state, value, or form and was altered or updated from that prior condition to a new one.
-
C.
changedUnder
Indicates that one entity has undergone alteration, modification, or transformation as a result of the influence, action, or conditions imposed by another entity.
-
D.
changedOn
Indicates that an entity underwent a modification or update at a specific point in time.
-
E.
modifiedDuring
chosen
Indicates that one entity underwent a change or alteration while another specified time period, process, or event was occurring.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d162b008190a18d325796d75d77 |
completed | April 20, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69e537fd311881908448f2aea8b4812e |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 11, 2026, 3:29 p.m.