Triple
T31152662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Cole |
E794119
|
entity |
| Predicate | lifeStageCoverage |
P142850
|
FINISHED |
| Object | childhood to adulthood |
—
|
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: childhood to adulthood | Statement: [Ruth Cole, lifeStageCoverage, childhood to adulthood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lifeStageCoverage Context triple: [Ruth Cole, lifeStageCoverage, childhood to adulthood]
-
A.
lifeCycleCoverage
chosen
Indicates that one entity addresses, spans, or is applicable across specific stages or the entirety of another entity’s lifecycle.
-
B.
lifetimeCovers
Indicates that a specified coverage, policy, or protection applies for the entire duration of an entity’s existence or validity, without temporal gaps or renewals.
-
C.
lifetimeCovers
Indicates that a coverage, warranty, or protection remains valid for the entire lifetime of the specified subject or item.
-
D.
lifeStage
Indicates the specific phase or period in an entity’s development or lifecycle that it is currently in.
-
E.
typeOfCoverage
Indicates the specific kind or category of coverage that applies in a given context (such as insurance, service, or protection).
- 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_69f224d41bb48190a5621cd1485e3a30 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69dfdda708190be290c7bec205445 |
completed | May 3, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:06 p.m.