Triple
T29607753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belarius |
E754623
|
entity |
| Predicate | raisesAsOwnChildren |
P167502
|
FINISHED |
| Object | Guiderius |
—
|
NE NERFINISHED |
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: Guiderius | Statement: [Belarius, raisesAsOwnChildren, Guiderius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raisesAsOwnChildren Context triple: [Belarius, raisesAsOwnChildren, Guiderius]
-
A.
raisesAsDaughter
Indicates that one entity brings up and cares for another as their daughter, in a parental role.
-
B.
raisedAsPartOf
Indicates that an entity was brought up, nurtured, or developed within the context, environment, or membership of another entity or group.
-
C.
takesChildrenTo
Indicates that one entity accompanies and transports children to a particular place or event.
-
D.
raisedAs
Indicates that one entity was brought up, nurtured, or reared in the role, identity, or condition specified by another entity.
-
E.
capturedAsChild
Indicates that one entity was taken into custody, control, or confinement by another entity while still a child.
- 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66de8aaf48190a2bc6177604a3771 |
completed | May 2, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 6:26 p.m.