Triple
T35386054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Weston |
E1022795
|
entity |
| Predicate | hasSecondWife |
P14424
|
FINISHED |
| Object | Miss Taylor |
—
|
NE NERFINISHED |
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: Miss Taylor | Statement: [Mr. Weston, hasSecondWife, Miss Taylor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondWife Context triple: [Mr. Weston, hasSecondWife, Miss Taylor]
-
A.
secondWifeOf
chosen
Indicates that one person is the second spouse (by order of marriage) of another person.
-
B.
hasAnotherWife
Indicates that a person is married to more than one wife, specifying the existence of an additional wife beyond the first.
-
C.
secondHusbandInstanceOf
Indicates that one person is the second husband of another person in a sequence of marital relationships.
-
D.
subsequentSpouse
Indicates that one person is a later spouse of another, following a previous marriage involving at least one of them.
-
E.
givenToSecondHusbandBy
Indicates that something was transferred or bestowed upon a person by their second husband.
- 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_6a00119d821c8190874786391b27ef23 |
completed | May 10, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_6a001143fb6881909ac0ae8bfea04351 |
completed | May 10, 2026, 5:01 a.m. |
Created at: May 3, 2026, 4:03 p.m.