Triple
T32554970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anette Qviberg |
E832072
|
entity |
| Predicate | marriageStatusWithDolphLundgren |
P192072
|
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: [Anette Qviberg, marriageStatusWithDolphLundgren, divorced]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStatusWithDolphLundgren Context triple: [Anette Qviberg, marriageStatusWithDolphLundgren, divorced]
-
A.
marriageStatusWithLonChaney
Indicates the marital relationship status that an entity has (or had) with Lon Chaney.
-
B.
marriageStatusWithMichaelCrawford
Indicates the marital relationship status that an entity has with Michael Crawford.
-
C.
maritalStatusInLegend
Indicates the marital status attributed to an entity within a legend, myth, or traditional narrative context.
-
D.
maritalStatusInDisguise
Indicates that an entity’s true marital status is being concealed or misrepresented, typically appearing different from what it actually is.
-
E.
isFianceeOf
Indicates that one person is the engaged-to-be-married partner of another person.
- 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69fcf36bb86c8190a0a0ccf47cb56e5c |
completed | May 7, 2026, 8:17 p.m. |
Created at: May 1, 2026, 1:03 a.m.