Triple
T13023360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Nicolson |
E326232
|
entity |
| Predicate | endTimeOfMarriageWithOrsonWelles |
P107510
|
FINISHED |
| Object | 1940 |
—
|
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: 1940 | Statement: [Virginia Nicolson, endTimeOfMarriageWithOrsonWelles, 1940]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfMarriageWithOrsonWelles Context triple: [Virginia Nicolson, endTimeOfMarriageWithOrsonWelles, 1940]
-
A.
endTimeOfMarriageWithClaudeRains
Indicates the date and time at which a marriage involving Claude Rains came to an end.
-
B.
endTimeOfMarriageWithCaryGrant
Indicates the date and time at which a person’s marriage to Cary Grant ended.
-
C.
end time of marriage with Humphrey Bogart
Indicates the date and time at which a person’s marriage to Humphrey Bogart ended.
-
D.
startTimeOfMarriageWithCaryGrant
Indicates the date and time when an individual’s marriage to Cary Grant began.
-
E.
startTimeOfMarriageWithClaudeRains
Indicates the point in time when a marriage involving Claude Rains began.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ed05e9c8190a4f208662bca0602 |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e3df2288190a7f27d31d248bb7f |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 8:52 p.m.