Triple
T35386053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Weston |
E1022795
|
entity |
| Predicate | hasFirstWife |
P24358
|
FINISHED |
| Object | Frank Churchill’s mother |
—
|
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: Frank Churchill’s mother | Statement: [Mr. Weston, hasFirstWife, Frank Churchill’s mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstWife Context triple: [Mr. Weston, hasFirstWife, Frank Churchill’s mother]
-
A.
firstWifeOf
chosen
Indicates that one person is the first woman to have been married to another person.
-
B.
firstWifeStatus
Indicates the marital status or condition of a man's first wife in relation to him.
-
C.
hasAnotherWife
Indicates that a person is married to more than one wife, specifying the existence of an additional wife beyond the first.
-
D.
marriedBefore
Indicates that one entity entered into a marriage at an earlier time than the other entity.
-
E.
marriedBy
Indicates that one entity is the officiant or authority who performs and formalizes the marriage of another entity.
- F. None of above.
Provenance (3 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffcb5536d88190bfc2e00b854cacfb |
completed | May 10, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69ffc900c2a081909dea04aa60566923 |
completed | May 9, 2026, 11:53 p.m. |
Created at: May 3, 2026, 4:03 p.m.