Triple
T11954214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcatel |
E284508
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Pierre Azaria |
E284508
|
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: Pierre Azaria | Statement: [Alcatel, founder, Pierre Azaria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierre Azaria Context triple: [Alcatel, founder, Pierre Azaria]
-
A.
Pierre Azaria
chosen
Pierre Azaria was a French entrepreneur best known for founding the telecommunications company Alcatel.
-
B.
Joseph Mazilier
Joseph Mazilier was a 19th-century French ballet dancer, choreographer, and ballet master known for creating several major Romantic ballets.
-
C.
Michel Elie
Michel Elie is a French computer scientist known for his pioneering role in the development of early packet-switching networks, notably through his work on the CYCLADES project.
-
D.
Didier Zokora
Didier Zokora is a retired Ivorian defensive midfielder best known for his long international career with Côte d'Ivoire and club spells at teams such as Tottenham Hotspur and Sevilla.
-
E.
Antoine Parra
Antoine Parra is a French local politician who serves as the mayor of the coastal commune of Argelès-sur-Mer in southern France.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90365da288190a132703df563de23 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4590584608190bc00840c43f115a0 |
completed | May 1, 2026, 7:40 a.m. |
Created at: April 8, 2026, 9:45 p.m.