Triple
T7914893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Alexander Kane |
E183795
|
entity |
| Predicate | positionInMarriageOrder |
P4764
|
FINISHED |
| Object | second wife of Charles Foster Kane |
—
|
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: second wife of Charles Foster Kane | Statement: [Susan Alexander Kane, positionInMarriageOrder, second wife of Charles Foster Kane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInMarriageOrder Context triple: [Susan Alexander Kane, positionInMarriageOrder, second wife of Charles Foster Kane]
-
A.
positionOnMarriage
Indicates a person's stance, opinion, or policy regarding the institution or practice of marriage.
-
B.
spouseOrder
chosen
Indicates the position or sequence of a person among multiple spouses in a marital relationship.
-
C.
predecessorInMaoMarriageOrder
Indicates that one person is immediately earlier than another in the ordered sequence of spouses within a Mao-style marriage arrangement.
-
D.
marriedToRank
Indicates that one entity is married to another entity who holds a specific rank or position.
-
E.
positionInFamilyBirthOrder
Indicates the relative order in which a person was born within their family (e.g., first-born, middle child, last-born).
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a759b548190af2e2aa0705d7051 |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae9316e98819080be7bf1a6ff92f1 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:05 p.m.