Triple
T13511128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ariana Dumbledore |
E321140
|
entity |
| Predicate | traumaEvent |
P41242
|
FINISHED |
| Object | attacked by Muggle boys in childhood |
—
|
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: attacked by Muggle boys in childhood | Statement: [Ariana Dumbledore, traumaEvent, attacked by Muggle boys in childhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traumaEvent Context triple: [Ariana Dumbledore, traumaEvent, attacked by Muggle boys in childhood]
-
A.
trauma
chosen
Indicates that an entity has experienced a deeply distressing or harmful event or series of events that cause lasting psychological or emotional impact.
-
B.
traumaTheme
Indicates that the relationship or context involves themes of trauma, such as psychological injury, distressing experiences, or their emotional and narrative impact.
-
C.
traumaLevel
Indicates the degree or severity of trauma experienced or present in relation to an entity or event.
-
D.
otherMajorTragedy
Indicates that the subject experienced or was involved in a significant tragic event other than the primary or most notable tragedy under consideration.
-
E.
notableIncidentType
Indicates the specific category or kind of significant event or incident associated with an entity.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf86a6208190be8c18f7a0158f23 |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.