Triple
T15634983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elisa Baciocchi |
E375917
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Joseph Bonaparte |
E16559
|
NE 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: Joseph Bonaparte | Statement: [Elisa Baciocchi, sibling, Joseph Bonaparte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Bonaparte Context triple: [Elisa Baciocchi, sibling, Joseph Bonaparte]
-
A.
Joseph Bonaparte
chosen
Joseph Bonaparte was the elder brother of Napoleon who became King of Naples and later King of Spain during the Napoleonic era.
-
B.
Jérôme Bonaparte
Jérôme Bonaparte was the youngest brother of Napoleon who became King of Westphalia and later served as a Marshal of France.
-
C.
Louis Bonaparte
Louis Bonaparte was a younger brother of Napoleon who became King of Holland and played a notable role in European politics during the Napoleonic era.
-
D.
Joseph Lucien Bonaparte
Joseph Lucien Bonaparte was a member of the Bonaparte family and the son of the noted French ornithologist and politician Charles Lucien Bonaparte.
-
E.
Napoléon Jérôme Bonaparte
Napoléon Jérôme Bonaparte was a 19th-century French prince of the Bonaparte family who pursued a military and political career under the Second French Empire.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb8b4c48190b80fea6877483089 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7568028481908caa1e49541bbcf1 |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 10, 2026, 4:14 a.m.