Triple
T16245249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcia Murphey |
E394354
|
entity |
| Predicate | endTimeOfMarriageToNeilDiamond |
P122322
|
FINISHED |
| Object | 1995 |
—
|
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: 1995 | Statement: [Marcia Murphey, endTimeOfMarriageToNeilDiamond, 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfMarriageToNeilDiamond Context triple: [Marcia Murphey, endTimeOfMarriageToNeilDiamond, 1995]
-
A.
endTimeOfMarriageToRockHudson
Indicates the date and time when a person’s marriage to Rock Hudson ended.
-
B.
endTimeOfMarriageWithWhitneyHouston
Indicates the date and time when an individual's marriage to Whitney Houston came to an end.
-
C.
endTime (marriage to Liza Minnelli)
Indicates the date and time when the marriage to Liza Minnelli legally or formally ended.
-
D.
endTimeOfMarriageWithDanAykroyd
Indicates the date and time at which a marriage involving Dan Aykroyd ended.
-
E.
endTimeOfMarriageWithCaryGrant
Indicates the date and time at which a person’s marriage to Cary Grant 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24561d250819096f709ea8751fcb9 |
completed | April 17, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:04 a.m.