Triple
T20414827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Lyle Craig |
E500679
|
entity |
| Predicate | marriageCountWithMarieOsmond |
P140050
|
FINISHED |
| Object | 2 |
—
|
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 | Statement: [Stephen Lyle Craig, marriageCountWithMarieOsmond, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageCountWithMarieOsmond Context triple: [Stephen Lyle Craig, marriageCountWithMarieOsmond, 2]
-
A.
marriageCountWithElizabethTaylor
Indicates the number of separate marriages an individual has had with Elizabeth Taylor.
-
B.
numberOfMarriages
Indicates the total count of times an entity has been legally married.
-
C.
numberOfMarriagesOfSpouse
Indicates the total count of times the referenced spouse has been married.
-
D.
spouseCount
Indicates the number of spouses an entity has.
-
E.
spouseCountWith
Indicates the number of spouses an entity has in relation to another specified entity or context.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a437eec8190a20c89a236dd5bc0 |
completed | April 20, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:30 a.m.