Triple
T20027619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Witcher Langhorne |
E495028
|
entity |
| Predicate | marriageToRobertGouldShawIITermination |
P138429
|
FINISHED |
| Object | divorce |
—
|
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: divorce | Statement: [Nancy Witcher Langhorne, marriageToRobertGouldShawIITermination, divorce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageToRobertGouldShawIITermination Context triple: [Nancy Witcher Langhorne, marriageToRobertGouldShawIITermination, divorce]
-
A.
endTimeOfSpouseRelationshipWith_JohnParkeCustis
Indicates the time at which John Parke Custis’s marital relationship with a spouse came to an end.
-
B.
marriageEndToCliffRobertson
Indicates that a marriage ended involving Cliff Robertson as one of the spouses.
-
C.
marriageEndCauseWithRobertDevereux
Indicates that the marriage ended specifically due to a cause involving Robert Devereux.
-
D.
marriageEndDateWithRobertDevereux
Indicates the date on which a marriage involving Robert Devereux officially ended.
-
E.
marriageEndWithRobertWolders
Indicates that a person’s marriage ended with Robert Wolders as their spouse at the time of the marriage’s dissolution.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628f67e081909b9e69dfbe2127ce |
completed | April 20, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:35 p.m.