Triple
T22895979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple prison |
E568174
|
entity |
| Predicate | dateOfExecutionOfMarieAntoinette |
P150161
|
FINISHED |
| Object | 16 October 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: 16 October 1793 | Statement: [Temple prison, dateOfExecutionOfMarieAntoinette, 16 October 1793]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfExecutionOfMarieAntoinette Context triple: [Temple prison, dateOfExecutionOfMarieAntoinette, 16 October 1793]
-
A.
dateOfExecutionOfLouisXVI
Indicates the specific calendar date on which the execution of Louis XVI took place.
-
B.
फांसी_की_तिथि
Indicates the date on which an execution by hanging is scheduled or carried out.
-
C.
executionDateOfMaryQueenOfScots
Indicates the date on which the execution of Mary, Queen of Scots, took place.
-
D.
assassinationDate
Indicates the date on which an assassination of the referenced entity occurred.
-
E.
endTimeAsFirstLadyOfFrance
Indicates the date and time when an individual's tenure as First Lady of France 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.