Triple
T17656460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosemary Clark Schrode |
E429639
|
entity |
| Predicate | endCauseOfMarriageToClaudeRains |
P128415
|
FINISHED |
| Object | death of Rosemary Clark Schrode |
—
|
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 Rosemary Clark Schrode | Statement: [Rosemary Clark Schrode, endCauseOfMarriageToClaudeRains, death of Rosemary Clark Schrode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endCauseOfMarriageToClaudeRains Context triple: [Rosemary Clark Schrode, endCauseOfMarriageToClaudeRains, death of Rosemary Clark Schrode]
-
A.
startTimeOfMarriageWithClaudeRains
Indicates the point in time when a marriage involving Claude Rains began.
-
B.
endTimeOfMarriageWithClaudeRains
Indicates the date and time at which a marriage involving Claude Rains came to an end.
-
C.
marriageOrderWithClaudeRains
Indicates the sequence or order in which an entity entered into marriage with Claude Rains relative to his other spouses.
-
D.
start time of marriage with Humphrey Bogart
Indicates the date and time when a person’s marriage to Humphrey Bogart began.
-
E.
end time of marriage with Humphrey Bogart
Indicates the date and time at which a person’s marriage to Humphrey Bogart 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46ea2b3308190b9ad752728d98856 |
completed | April 19, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 6:06 a.m.