Triple
T7468946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christianne Vulpius |
E176454
|
entity |
| Predicate | startTimeOfRelationshipWith Goethe |
P76430
|
FINISHED |
| Object | 1788 |
—
|
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: 1788 | Statement: [Christianne Vulpius, startTimeOfRelationshipWith Goethe, 1788]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfRelationshipWith Goethe Context triple: [Christianne Vulpius, startTimeOfRelationshipWith Goethe, 1788]
-
A.
marriageToErichMariaRemarqueStart
Indicates the point in time when an entity’s marriage to Erich Maria Remarque begins.
-
B.
marriageStartWithJosephGoebbels
Indicates the point in time when a marriage involving Joseph Goebbels begins.
-
C.
startDateAsGrandDuchy
Indicates the date on which an entity began its existence or status as a grand duchy.
-
D.
dateOfMetOperaDebut
Indicates the specific date on which an individual or group first performed at the Metropolitan Opera.
-
E.
marriageStartToJohannesKepler
Indicates the point in time when a marriage to Johannes Kepler began.
- F. None of above. chosen
Provenance (4 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f6f23881908e3e80b0c7335a15 |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f105e320819091db3cdb1f1351f0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:40 p.m.