Triple
T38180541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feodor the Bellringer |
E1005145
|
entity |
| Predicate | issueSurvivedToAdulthood |
P15463
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Feodor the Bellringer, issueSurvivedToAdulthood, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issueSurvivedToAdulthood Context triple: [Feodor the Bellringer, issueSurvivedToAdulthood, no]
-
A.
childrenSurvivedToAdulthood
chosen
Indicates that the referenced children lived beyond childhood and reached adulthood.
-
B.
survivingChild
Indicates that one entity is a child of another and remains alive after the other’s death.
-
C.
numberOfChildrenSurvivors
Indicates the count of children who survived a particular event, condition, or situation.
-
D.
diedInInfancy
Indicates that an individual died during infancy, before reaching early childhood.
-
E.
survivesIn
Indicates that an entity remains alive, functional, or intact within a specified environment, condition, or context.
- 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_69f76dbc22c481908139b694ffde7a0c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:29 p.m.