Triple
T3111355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xavier Niel |
E64957
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Xavier Niel |
E64957
|
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: Xavier Niel | Statement: [Xavier Niel, name, Xavier Niel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xavier Niel Context triple: [Xavier Niel, name, Xavier Niel]
-
A.
Xavier Niel
chosen
Xavier Niel is a French billionaire entrepreneur and investor best known as the founder of the telecom company Iliad/Free and a prominent figure in France’s technology and startup ecosystem.
-
B.
Philippe Kahn
Philippe Kahn is a French technology entrepreneur and software engineer best known for founding Borland and inventing the first camera phone solution.
-
C.
Michel Virlogeux
Michel Virlogeux is a renowned French structural engineer and bridge designer known for his work on major long-span bridges around the world.
-
D.
Stéphane Boudin
Stéphane Boudin was a renowned 20th-century French interior designer and president of the firm Maison Jansen, celebrated for his work on high-profile residences and state rooms, including projects for the White House.
-
E.
Peter Biziou
Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43954f0819096a96331bf3c53a8 |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20394a8cc8190b114760079f8b0f6 |
completed | March 12, 2026, 12:06 a.m. |
Created at: March 8, 2026, 3:04 p.m.