Triple
T15100125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life of Charlemagne |
E360640
|
entity |
| Predicate | writtenByEyewitness |
P117319
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Life of Charlemagne, writtenByEyewitness, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writtenByEyewitness Context triple: [Life of Charlemagne, writtenByEyewitness, true]
-
A.
writtenIn
Indicates that a work (such as a text, program, or document) is expressed or encoded using a particular language or notation.
-
B.
wroteIn
Indicates that an entity authored or composed something using a particular language, medium, or writing system.
-
C.
savedByTestimonyOf
Indicates that an entity is rescued, delivered, or brought to salvation as a result of another entity’s testimony or witness.
-
D.
historicalEventWitnessed
Indicates that an entity personally observed or was present at a particular historical event.
-
E.
writtenByPrisoner
Indicates that something (such as a text, letter, or document) was authored by a person who is or was incarcerated.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00550007481909e02ee1d597a4d37 |
completed | April 15, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:04 a.m.