Triple
T17468542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Napoleon’s memoirs dictated to Emmanuel de Las Cases |
E425340
|
entity |
| Predicate | timeOfDictation |
P127569
|
FINISHED |
| Object | 1815–1816 |
—
|
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: 1815–1816 | Statement: [Napoleon’s memoirs dictated to Emmanuel de Las Cases, timeOfDictation, 1815–1816]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfDictation Context triple: [Napoleon’s memoirs dictated to Emmanuel de Las Cases, timeOfDictation, 1815–1816]
-
A.
canDictateText
Indicates that one entity has the ability to produce or control text content, typically by speaking or issuing commands that are converted into written form.
-
B.
alsoTranscribes
Indicates that an entity, in addition to its primary transcription role, transcribes another specified entity as well.
-
C.
recordDuration
Indicates the length of time for which something is recorded or captured.
-
D.
soundRecordingBy
Indicates that a sound recording was created, performed, or produced by a particular agent (such as an artist, band, or producer).
-
E.
recordLanguage
Indicates that a record is created, stored, or presented in a particular language.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451aa0e1c81909627369465575c06 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:47 a.m.