Triple
T16038574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertha of Savoy |
E389029
|
entity |
| Predicate | genreOfBiographicalSources |
P96774
|
FINISHED |
| Object | medieval chronicles |
—
|
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: medieval chronicles | Statement: [Bertha of Savoy, genreOfBiographicalSources, medieval chronicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfBiographicalSources Context triple: [Bertha of Savoy, genreOfBiographicalSources, medieval chronicles]
-
A.
genreOfBiographicalTradition
chosen
Indicates that one entity is the genre classification associated with a particular biographical tradition of another entity.
-
B.
genreOfBiographicalDepiction
Indicates that one entity is the genre category assigned to a biographical depiction (such as a biographical film, book, or artwork) about another entity.
-
C.
includesBiographiesOf
Indicates that one entity contains or features biographical information about another entity.
-
D.
hasBiographicalTheme
Indicates that something (such as a work, text, or content) centers on or significantly involves biographical subject matter, such as a person’s life, experiences, or personal history.
-
E.
hasBiographicalStyle
Indicates that something is characterized by or presented in a biographical manner or style.
- F. None of above.
Provenance (3 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.