Triple
T13016000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kendra Dumbledore |
E322552
|
entity |
| Predicate | causeOfMove |
P12894
|
FINISHED |
| Object | attack on Ariana Dumbledore by Muggle boys |
—
|
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: attack on Ariana Dumbledore by Muggle boys | Statement: [Kendra Dumbledore, causeOfMove, attack on Ariana Dumbledore by Muggle boys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfMove Context triple: [Kendra Dumbledore, causeOfMove, attack on Ariana Dumbledore by Muggle boys]
-
A.
displacementCause
Indicates a causal relationship where one entity is responsible for the displacement or forced movement of another entity from its original location or situation.
-
B.
movementCause
chosen
Indicates that one entity’s action or event is the cause of another entity’s movement or change in location.
-
C.
migrationCause
Indicates the reason or driving factor that leads an entity to migrate from one place to another.
-
D.
reasonForRelocation
Indicates the underlying cause, motivation, or circumstance that led an entity to move from one location to another.
-
E.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecd04748190ade2530ee5db35fe |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc153a081909d13a694993f074a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:50 p.m.