Triple
T25308247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California Paid Family Leave program |
E634537
|
entity |
| Predicate | coveredFamilyMember |
P158812
|
FINISHED |
| Object | spouse |
—
|
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: spouse | Statement: [California Paid Family Leave program, coveredFamilyMember, spouse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coveredFamilyMember Context triple: [California Paid Family Leave program, coveredFamilyMember, spouse]
-
A.
coveredFamilyMember
chosen
Indicates that one person is included as an eligible dependent or beneficiary under another person’s insurance or benefit coverage.
-
B.
closestLivingRelatives
Indicates that the related entities are the most closely related to each other among all currently living entities, in terms of evolutionary or genealogical proximity.
-
C.
uniqueFamilyMember
Indicates that one entity is a family member of another in a way that is distinct and not shared by any other family member.
-
D.
siblingOrRelative
Indicates that two entities are related to each other by blood, marriage, or family ties, including but not limited to being siblings.
-
E.
hasFamilialTieTo
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 1:25 p.m.