Triple
T29345575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joyce Indig |
E744161
|
entity |
| Predicate | startTimeOfMarriageWithRodneyDangerfield |
P196696
|
FINISHED |
| Object | c. 1949 |
—
|
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: c. 1949 | Statement: [Joyce Indig, startTimeOfMarriageWithRodneyDangerfield, c. 1949]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMarriageWithRodneyDangerfield Context triple: [Joyce Indig, startTimeOfMarriageWithRodneyDangerfield, c. 1949]
-
A.
endTimeOfFirstMarriageWithRodneyDangerfield
Indicates the date and time when the subject’s first marriage to Rodney Dangerfield ended.
-
B.
endTimeOfSecondMarriageWithRodneyDangerfield
Indicates the time at which the subject’s second marriage to Rodney Dangerfield ended.
-
C.
startTimeOfMarriageWithDanAykroyd
Indicates the date and time when a marriage involving Dan Aykroyd began.
-
D.
startTimeOfMarriageWithRobinWilliams
Indicates the time at which a marriage involving Robin Williams began.
-
E.
endTimeOfMarriageWithDanAykroyd
Indicates the date and time at which a marriage involving Dan Aykroyd 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
| PDg | Predicate description generation | batch_69fe629a8d4c8190b4aa4dee39efc0a6 |
completed | May 8, 2026, 10:24 p.m. |
Created at: April 28, 2026, 2:01 p.m.