Triple
T3841219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memoirs of Joseph Bonaparte |
E93452
|
entity |
| Predicate | hasAutobiographicalContent |
P19920
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Memoirs of Joseph Bonaparte, hasAutobiographicalContent, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAutobiographicalContent Context triple: [Memoirs of Joseph Bonaparte, hasAutobiographicalContent, yes]
-
A.
hasAutobiographicalElements
chosen
Indicates that something, such as a work or narrative, contains elements drawn from the creator’s own life or personal experiences.
-
B.
hasPartInBiography
Indicates that a person or entity is featured or plays a role within someone’s biographical account.
-
C.
isThirdAutobiographyOf
Indicates that one work is the third autobiography written by or about a particular person or entity in a sequence of autobiographical works.
-
D.
hasWrittenAbout
Indicates that one entity has authored content or material discussing, analyzing, or referencing another entity.
-
E.
hasUncertainBiographicalDetails
Indicates that the biographical information about an entity is incomplete, ambiguous, or not reliably established.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb235088190b115623e54ea2ab1 |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee74dcecc819098285483ec721b40 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:18 p.m.