Triple
T30528428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Wolders |
E776922
|
entity |
| Predicate | causeOfEndOfRelationship |
P180969
|
FINISHED |
| Object | death of Audrey Hepburn |
—
|
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: death of Audrey Hepburn | Statement: [Robert Wolders, causeOfEndOfRelationship, death of Audrey Hepburn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfEndOfRelationship Context triple: [Robert Wolders, causeOfEndOfRelationship, death of Audrey Hepburn]
-
A.
causesSeparationFrom
Indicates that one entity brings about or is responsible for another entity becoming separated from a third entity or context.
-
B.
divorceReason
Indicates the reason or cause for which a marriage ended in divorce between two individuals.
-
C.
breakupLinkedTo
Indicates a causal or associative relationship where a breakup is connected to, influenced by, or results from another event, factor, or entity.
-
D.
brokeUpWith
Indicates that one entity ended a romantic or intimate relationship with another entity.
-
E.
breaksUpWith
Indicates that one entity ends a romantic or intimate relationship with another entity.
- 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_69f2249c11508190ae7e955755ccfb01 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
| PDg | Predicate description generation | batch_69f75dc140c4819085063d6c4c36ca61 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 29, 2026, 8:18 p.m.