Triple
T34042072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnie Bramlett |
E872975
|
entity |
| Predicate | endTimeOfMarriageWithDelaneyBramlett |
P196994
|
FINISHED |
| Object | 1972 |
—
|
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: 1972 | Statement: [Bonnie Bramlett, endTimeOfMarriageWithDelaneyBramlett, 1972]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfMarriageWithDelaneyBramlett Context triple: [Bonnie Bramlett, endTimeOfMarriageWithDelaneyBramlett, 1972]
-
A.
endTimeOfMarriageToDrewBarrymore
Indicates the date and time when a subject’s marriage to Drew Barrymore ended.
-
B.
marriageEndToWayneBrady
Indicates that a marriage relationship has ended with Wayne Brady as one of the spouses involved in that dissolution.
-
C.
endTimeOfMarriageWithSallyField
Indicates the date and time when an individual's marriage to Sally Field ended.
-
D.
endTimeOfMarriageWith Lillian Lamont
Indicates the date and time when the marriage with Lillian Lamont legally or formally ended.
-
E.
endTimeOfMarriageToNoelEdmonds
Indicates the time at which an individual's marriage to Noel Edmonds 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_69f349a3363081909cea4c9a848cefe2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
| PDg | Predicate description generation | batch_69fe72db8810819089e397961b8ead7a |
completed | May 8, 2026, 11:33 p.m. |
Created at: May 1, 2026, 1:51 a.m.