Triple
T35842687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Marie Kessler |
E1036126
|
entity |
| Predicate | marriageToRandyOrton |
P195065
|
FINISHED |
| Object | after his divorce from Samantha Speno |
—
|
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: after his divorce from Samantha Speno | Statement: [Kim Marie Kessler, marriageToRandyOrton, after his divorce from Samantha Speno]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageToRandyOrton Context triple: [Kim Marie Kessler, marriageToRandyOrton, after his divorce from Samantha Speno]
-
A.
marriageToCynthiaRhodes
Indicates that the subject is or was married to Cynthia Rhodes.
-
B.
isFianceeOf
Indicates that one person is the engaged-to-be-married partner of another person.
-
C.
marriageToRobertDurst
Indicates that an entity is or was married to Robert Durst.
-
D.
resultedInMarriageTo
Indicates that one event, action, or circumstance led to or caused a marriage to occur between the related entities.
-
E.
marriedToSteveHarveyDuring
Indicates that someone was married to Steve Harvey during a specified time period.
- 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_69f76e1a29e8819088280f26096aeb55 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
| PDg | Predicate description generation | batch_69fd9fef7aac819089cc88dd3d00296d |
completed | May 8, 2026, 8:33 a.m. |
Created at: May 3, 2026, 4:06 p.m.