Triple
T16966790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne Newton |
E411559
|
entity |
| Predicate | spouseCountWith |
P125420
|
FINISHED |
| Object | 2 marriages to Alene Akins |
—
|
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: 2 marriages to Alene Akins | Statement: [Wayne Newton, spouseCountWith, 2 marriages to Alene Akins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseCountWith Context triple: [Wayne Newton, spouseCountWith, 2 marriages to Alene Akins]
-
A.
spouseCount
Indicates the number of spouses an entity has.
-
B.
hasNumberOfChildrenWithSpouse
Indicates the count of children that an individual has specifically with a given spouse.
-
C.
numberOfMarriagesOfSpouse
Indicates the total count of times the referenced spouse has been married.
-
D.
spouseInFamily
Indicates that a person is a spouse (married partner) within the context of a specific family unit.
-
E.
spouseFamily
Indicates a family relationship formed through marriage, such as between a person and their spouse’s relatives.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a548b48190b87468630f3e3209 |
completed | April 18, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:31 a.m.