Triple
T739445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Darwin (civil servant) |
E15209
|
entity |
| Predicate | insurancePayoutTarget |
P12185
|
FINISHED |
| Object | life insurance policies |
—
|
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: life insurance policies | Statement: [John Darwin (civil servant), insurancePayoutTarget, life insurance policies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: insurancePayoutTarget Context triple: [John Darwin (civil servant), insurancePayoutTarget, life insurance policies]
-
A.
insuranceType
chosen
Indicates the specific category or kind of insurance coverage associated with an entity or relationship.
-
B.
depositInsuranceCoverageInitial
Indicates the initial amount or scope of insurance protection provided for a deposit at the start of coverage.
-
C.
affectedAgency
Indicates that one entity has an effect on, or causes a change in, the agency or capacity for action of another entity.
-
D.
establishesLiabilityFor
Indicates that one party is held legally responsible or accountable for a particular act, omission, or outcome.
-
E.
CanadaClaimsAs
Indicates that Canada asserts ownership, sovereignty, or jurisdiction over the referenced entity or territory.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fc734c81908fbd36386d5746d6 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.