Triple
T19985303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rowena Ravenclaw |
E493916
|
entity |
| Predicate | valuedTrait |
P21633
|
FINISHED |
| Object | intelligence |
—
|
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: intelligence | Statement: [Rowena Ravenclaw, valuedTrait, intelligence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valuedTrait Context triple: [Rowena Ravenclaw, valuedTrait, intelligence]
-
A.
valuedBy
Indicates that one entity is regarded as important, useful, or held in high esteem by another entity.
-
B.
valueCharacteristic
Indicates that one entity serves as a value or specific quantitative/qualitative measure that characterizes or describes another entity.
-
C.
isValuedFor
chosen
Indicates that one entity is appreciated, esteemed, or considered important because of a particular quality, contribution, or characteristic it provides to another entity.
-
D.
valetTrait
Indicates that an entity possesses characteristics, behaviors, or qualities associated with a valet or valet-like role.
-
E.
value
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
- 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.