Triple
T9610118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleanor Calvert |
E232074
|
entity |
| Predicate | startTimeOfSpouseRelationshipWith_DavidStuart |
P14428
|
FINISHED |
| Object | 1783 |
—
|
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: 1783 | Statement: [Eleanor Calvert, startTimeOfSpouseRelationshipWith_DavidStuart, 1783]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfSpouseRelationshipWith_DavidStuart Context triple: [Eleanor Calvert, startTimeOfSpouseRelationshipWith_DavidStuart, 1783]
-
A.
spouseOfSince
Indicates that two individuals are spouses and specifies the date or time from which their marital relationship has been in effect.
-
B.
spousePositionHeldStartTime
Indicates the date and time when a spouse first began holding a particular position or office.
-
C.
spouseStartTime
chosen
Indicates the point in time when two individuals began their spousal (marriage) relationship.
-
D.
startTimeOfSpouseRelationshipWithLadyRandolphChurchill
Indicates the point in time when an individual’s spousal relationship with Lady Randolph Churchill began.
-
E.
startTimeOfSpouseRelationshipWith John Jacob Astor IV
Indicates the point in time when John Jacob Astor IV’s spousal relationship with a partner began.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a8469e081909c8fb7c84ffea2b3 |
completed | April 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a6fd2481908efd131e207b8143 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:08 p.m.