Triple
T17656458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosemary Clark Schrode |
E429639
|
entity |
| Predicate | ordinalNumberAsSpouseOfClaudeRains |
P97941
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Rosemary Clark Schrode, ordinalNumberAsSpouseOfClaudeRains, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ordinalNumberAsSpouseOfClaudeRains Context triple: [Rosemary Clark Schrode, ordinalNumberAsSpouseOfClaudeRains, 3]
-
A.
marriageOrderWithClaudeRains
chosen
Indicates the sequence or order in which an entity entered into marriage with Claude Rains relative to his other spouses.
-
B.
endTimeOfMarriageWithClaudeRains
Indicates the date and time at which a marriage involving Claude Rains came to an end.
-
C.
startTimeOfMarriageWithClaudeRains
Indicates the point in time when a marriage involving Claude Rains began.
-
D.
metSpouseElizabethTaylorAt
Indicates that the subject first met their spouse, Elizabeth Taylor, at the specified location or event.
-
E.
marriageOrderToClarkGable
Indicates the chronological position in which an entity married Clark Gable relative to his other spouses.
- F. None of above.
Provenance (3 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_69e46e40e344819086a49c69f8f2956b |
completed | April 19, 2026, 5:55 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 6:06 a.m.