Triple
T20592439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katherine MacGregor |
E505962
|
entity |
| Predicate | marriageStatusWithEdwardGKayeMartin |
P140692
|
FINISHED |
| Object | divorced |
—
|
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: divorced | Statement: [Katherine MacGregor, marriageStatusWithEdwardGKayeMartin, divorced]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStatusWithEdwardGKayeMartin Context triple: [Katherine MacGregor, marriageStatusWithEdwardGKayeMartin, divorced]
-
A.
marriageStatusWithMaryPickford
Indicates the marital relationship status that an entity has or had with Mary Pickford.
-
B.
marriageEndTimeWithRossKemp
Indicates the time at which a marriage involving Ross Kemp officially ended.
-
C.
marriageStartTimeWithRossKemp
Indicates the time at which a marriage involving Ross Kemp officially began.
-
D.
marriageStartWithKayCannon
Indicates the point in time or event at which a marriage involving Kay Cannon begins.
-
E.
marriageToEdwardIV
Indicates a marital relationship in which the subject is (or was) married to Edward IV.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a97d63cc8190853e052d5930470d |
completed | April 20, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69e59fffe1748190825e4eaa90340631 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:40 a.m.