Triple
T5183202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petunia Dursley |
E116967
|
entity |
| Predicate | raisesHarry |
P61949
|
FINISHED |
| Object | Begrudgingly |
—
|
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: Begrudgingly | Statement: [Petunia Dursley, raisesHarry, Begrudgingly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raisesHarry Context triple: [Petunia Dursley, raisesHarry, Begrudgingly]
-
A.
raisedDuring
Indicates that one entity was brought up, nurtured, or developed within the time period or circumstances defined by another entity.
-
B.
raisedWith
Indicates that two or more entities grew up together in the same household or close environment during their formative years.
-
C.
raisesQuestion
Indicates that one entity causes or prompts a question or doubt to arise about another entity or topic.
-
D.
raisedAs
Indicates that one entity was brought up, nurtured, or reared in the role, identity, or condition specified by another entity.
-
E.
raisedAt
Indicates that something was brought up, mentioned, or initiated at a particular time, place, or contextual point.
- 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.