Triple
T11396691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margery Latimer |
E269992
|
entity |
| Predicate | marriageDurationWithJeanToomer |
P99087
|
FINISHED |
| Object | brief |
—
|
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: brief | Statement: [Margery Latimer, marriageDurationWithJeanToomer, brief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageDurationWithJeanToomer Context triple: [Margery Latimer, marriageDurationWithJeanToomer, brief]
-
A.
marriageDurationWithEllaFitzgerald
Indicates the length of time an entity was married to Ella Fitzgerald.
-
B.
endTimeOfSpouseRelationshipWith_JohnParkeCustis
Indicates the time at which John Parke Custis’s marital relationship with a spouse came to an end.
-
C.
marriageDurationWithHenryFord
Indicates the length of time an entity was married to Henry Ford.
-
D.
endTime (marriage to Joséphine)
Indicates the point in time at which the marriage to Joséphine legally or formally ended.
-
E.
end time of marriage with Humphrey Bogart
Indicates the date and time at which a person’s marriage to Humphrey Bogart 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80019d3d48190a2f473deb6eae33a |
completed | April 9, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69d7e70b228c8190b87f5101fd683788 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:34 p.m.