Triple
T14793441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Tiberi |
E347713
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jean Tiberi |
E347713
|
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 Tiberi | Statement: [Jean Tiberi, name, Jean Tiberi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Tiberi Context triple: [Jean Tiberi, name, Jean Tiberi]
-
A.
Jean Tiberi
chosen
Jean Tiberi is a French politician from the Gaullist right who served as mayor of Paris in the 1990s and early 2000s.
-
B.
Michele Landsberg
Michele Landsberg is a Canadian journalist, author, and feminist activist known for her influential columns on social justice and women's rights.
-
C.
Joseph Mazilier
Joseph Mazilier was a 19th-century French ballet dancer, choreographer, and ballet master known for creating several major Romantic ballets.
-
D.
Jean Leonetti
Jean Leonetti is a French politician and physician known for his work on end-of-life legislation and his long-standing role in center-right national politics.
-
E.
Jules Taub
Jules Taub was a pseudonym used by record producer and songwriter Jules Bihari, who was associated with numerous blues and R&B compositions in mid-20th-century American music.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5ec43c8190ad7a10a556519bb0 |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24bea4408190975f4856cc02580e |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.