Triple
T18305354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carole Penny Marshall |
E438468
|
entity |
| Predicate | marriageEndWithRobReiner |
P131266
|
FINISHED |
| Object | 1981 |
—
|
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: 1981 | Statement: [Carole Penny Marshall, marriageEndWithRobReiner, 1981]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageEndWithRobReiner Context triple: [Carole Penny Marshall, marriageEndWithRobReiner, 1981]
-
A.
marriageEndTimeWithRossKemp
Indicates the time at which a marriage involving Ross Kemp officially ended.
-
B.
marriageEndWithRobertWolders
Indicates that a person’s marriage ended with Robert Wolders as their spouse at the time of the marriage’s dissolution.
-
C.
endTimeOfMarriageWithRobinWilliams
Indicates the time at which a marriage involving Robin Williams came to an end.
-
D.
marriageEndToGlennFord
Indicates the termination or end of a marriage in which Glenn Ford is one of the spouses.
-
E.
marriageEndWithRochelleParker
Indicates that a marriage concludes or is terminated in connection with Rochelle Parker.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50183394081909b86cefaaa0a3aa8 |
completed | April 19, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a0ba208190a5fe92832a8f7a49 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:35 a.m.