Triple
T8223338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunetra Sastry |
E192117
|
entity |
| Predicate | endTime (marriage to Rowan Atkinson) |
P81715
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Sunetra Sastry, endTime (marriage to Rowan Atkinson), 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (marriage to Rowan Atkinson) Context triple: [Sunetra Sastry, endTime (marriage to Rowan Atkinson), 2015]
-
A.
endTime (marriage to Enid Blyton)
Indicates the date and time at which the marriage to Enid Blyton ended.
-
B.
endTime (marriage to Autumn Kelly)
Indicates the time at which the marriage to Autumn Kelly concluded or was formally ended.
-
C.
endTime (marriage to John Spencer-Churchill)
Indicates the date and time at which the marriage to John Spencer-Churchill ended.
-
D.
endTime (marriage to Donald Trump)
Indicates the date and time at which the marriage to Donald Trump legally or formally concluded.
-
E.
endTime (marriage to Liza Minnelli)
Indicates the date and time when the marriage to Liza Minnelli legally or formally 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77cae2948190ae4507b75b5d5784 |
completed | March 31, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69cb36af41e081909dee92b9bc4947f1 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb4d9b03108190a6785834f21ff75e |
completed | March 31, 2026, 4:29 a.m. |
Created at: March 30, 2026, 5:45 p.m.