Triple
T21365116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Hawn |
E526888
|
entity |
| Predicate | marriageEndToDeanMartin |
P143995
|
FINISHED |
| Object | divorce |
—
|
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: divorce | Statement: [Catherine Hawn, marriageEndToDeanMartin, divorce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageEndToDeanMartin Context triple: [Catherine Hawn, marriageEndToDeanMartin, divorce]
-
A.
marriageEndToVincenteMinnelli
Indicates that a marriage relationship ended with Vincente Minnelli as the spouse at the point of dissolution.
-
B.
marriageEndToGlennFord
Indicates the termination or end of a marriage in which Glenn Ford is one of the spouses.
-
C.
marriageEndToLorettaYoung
Indicates that a marriage ended with the person Loretta Young as one of the spouses.
-
D.
maritalOrderWithDeanMartin
Indicates that there exists a marital relationship involving Dean Martin, specifying the order or sequence of that marriage among multiple marriages.
-
E.
marriageToMarilynMonroeEndYear
Indicates the year in which an individual's marriage to Marilyn Monroe ended.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06e1ba081908a96928a65da5fa2 |
completed | April 22, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e61b3e47f881908fb2aac9bd2bfb58 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 16, 2026, 5:09 p.m.