Triple
T9709492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Murat |
E234985
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jean Murat |
E234985
|
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: Jean Murat | Statement: [Jean Murat, name, Jean Murat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Murat Context triple: [Jean Murat, name, Jean Murat]
-
A.
Jean Murat
chosen
Jean Murat was a French film actor known for his roles in early 20th-century cinema and his marriage to actress Annabella.
-
B.
Joachim Murat
Joachim Murat was a French cavalry commander and Marshal of the Empire under Napoleon who became King of Naples in the early 19th century.
-
C.
Michel Ney
Michel Ney was a prominent French military commander and marshal of the Napoleonic Wars, renowned for his bravery and leadership in major battles across Europe.
-
D.
Kléber
Kléber is a French tire brand known for producing mid-range, reliable tires for passenger cars and light commercial vehicles.
-
E.
Jean-Andoche Junot
Jean-Andoche Junot was a French general and close confidant of Napoleon Bonaparte, noted for his service in the Revolutionary and Napoleonic Wars, including major campaigns in Spain and Russia.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da7c6188190b086f7e411378268 |
completed | April 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f8476e08190865700679069dee6 |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:19 p.m.