Triple
T15025342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristen Mary Houghton |
E378196
|
entity |
| Predicate | endTimeOfSpouseRelationshipWith Caitlyn Jenner |
P34761
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Kristen Mary Houghton, endTimeOfSpouseRelationshipWith Caitlyn Jenner, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfSpouseRelationshipWith Caitlyn Jenner Context triple: [Kristen Mary Houghton, endTimeOfSpouseRelationshipWith Caitlyn Jenner, 2015]
-
A.
spouseRelationshipEnd
Indicates that a marital relationship between two individuals has ended, such as through divorce, annulment, or separation.
-
B.
endTime (marriage to Donald Trump)
Indicates the date and time at which the marriage to Donald Trump legally or formally concluded.
-
C.
spouseEndTime
chosen
Indicates the time or date at which a spousal relationship between two entities ends.
-
D.
endTime (spouse: Michael Wells)
Indicates the time at which the marital relationship with the spouse Michael Wells concluded.
-
E.
endTimeOfSpouseRelationshipWith_JohnParkeCustis
Indicates the time at which John Parke Custis’s marital relationship with a spouse came to an end.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:57 a.m.