Triple
T16770807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trevor Engelson |
E407588
|
entity |
| Predicate | startTimeOfSpouseRelationshipWith Tracey Kurland |
P67588
|
FINISHED |
| Object | 2019-05 |
—
|
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: 2019-05 | Statement: [Trevor Engelson, startTimeOfSpouseRelationshipWith Tracey Kurland, 2019-05]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfSpouseRelationshipWith Tracey Kurland Context triple: [Trevor Engelson, startTimeOfSpouseRelationshipWith Tracey Kurland, 2019-05]
-
A.
endTimeOfSpouseRelationshipWith Robert Kardashian
Indicates the time at which a marital or spousal relationship with Robert Kardashian came to an end.
-
B.
spouseOfSince
chosen
Indicates that two individuals are spouses and specifies the date or time from which their marital relationship has been in effect.
-
C.
metSpouseAt
Indicates that one person first encountered or became acquainted with their spouse at a particular place, event, or time.
-
D.
spouseAssociatedWith
Indicates a marital or spousal relationship or close association between two entities.
-
E.
sometimesSpouseOf
Indicates that two entities are occasionally, but not consistently or permanently, in a spousal relationship with each other.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0361e5081908f58edf766ff3ce0 |
completed | April 18, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69e319cbd79c8190a03587a61c18bec0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:21 a.m.