Triple
T35390481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margie Schmitz |
E1022921
|
entity |
| Predicate | startTimeOfMarriageWithCurdJürgens |
P110983
|
FINISHED |
| Object | 1930s |
—
|
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: 1930s | Statement: [Margie Schmitz, startTimeOfMarriageWithCurdJürgens, 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMarriageWithCurdJürgens Context triple: [Margie Schmitz, startTimeOfMarriageWithCurdJürgens, 1930s]
-
A.
startTimeOfMarriageWith Leopold Eidlitz
Indicates the time at which a person’s marriage to Leopold Eidlitz began.
-
B.
marriageStartTime
chosen
Indicates the date and time at which a marriage between two entities officially begins.
-
C.
endTimeOfMarriageWith Leopold Eidlitz
Indicates the time at which a person's marriage to Leopold Eidlitz ended.
-
D.
marriageOrderWithJuliaTheElder
Indicates the sequence or arrangement of marriages involving Julia the Elder in relation to other spouses or partners.
-
E.
marriagePeriodWith
Indicates the time span during which two entities were married to each other.
- 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_69f76df34ba48190bd80f0814cdcd540 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a007241df8081909dbad651fda82aa7 |
completed | May 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_6a0071e77ed081908cd618da8977d878 |
completed | May 10, 2026, 11:54 a.m. |
Created at: May 3, 2026, 4:03 p.m.