Triple
T16245250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcia Murphey |
E394354
|
entity |
| Predicate | marriageDurationWithNeilDiamond |
P122323
|
FINISHED |
| Object | over two decades |
—
|
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: over two decades | Statement: [Marcia Murphey, marriageDurationWithNeilDiamond, over two decades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageDurationWithNeilDiamond Context triple: [Marcia Murphey, marriageDurationWithNeilDiamond, over two decades]
-
A.
marriageDurationWithEllaFitzgerald
Indicates the length of time an entity was married to Ella Fitzgerald.
-
B.
marriageDurationWithRockHudson
Indicates the length of time an entity was married to Rock Hudson.
-
C.
endTimeOfMarriageWithWhitneyHouston
Indicates the date and time when an individual's marriage to Whitney Houston came to an end.
-
D.
endTimeOfMarriageToRockHudson
Indicates the date and time when a person’s marriage to Rock Hudson ended.
-
E.
marriageDuration
Indicates the length of time that a marriage relationship has existed between two spouses.
- 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.