Triple
T22895978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple prison |
E568174
|
entity |
| Predicate | dateOfTransferOfMarieAntoinetteFromTemple |
P150160
|
FINISHED |
| Object | 1 August 1793 |
—
|
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: 1 August 1793 | Statement: [Temple prison, dateOfTransferOfMarieAntoinetteFromTemple, 1 August 1793]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfTransferOfMarieAntoinetteFromTemple Context triple: [Temple prison, dateOfTransferOfMarieAntoinetteFromTemple, 1 August 1793]
-
A.
dateOfExecutionOfLouisXVI
Indicates the specific calendar date on which the execution of Louis XVI took place.
-
B.
movedToVersaillesUnder
Indicates that one entity relocated to Versailles under the authority, rule, or auspices of another entity.
-
C.
endTimeAsFirstLadyOfFrance
Indicates the date and time when an individual's tenure as First Lady of France comes to an end.
-
D.
yearMovedToParis
Indicates the year in which an entity moved to Paris.
-
E.
reignAsEmpressOfTheFrenchEnd
Indicates the point in time or event at which an individual's tenure as Empress of the French comes to an end.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1801212808190b6471764d6c0b264 |
completed | April 29, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69ef3b6b2e2481908258156937b5a745 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:40 p.m.