Triple
T9059709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WE |
E217089
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Régine Chassagne |
E232766
|
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: Régine Chassagne | Statement: [WE, producer, Régine Chassagne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Régine Chassagne Context triple: [WE, producer, Régine Chassagne]
-
A.
Régine Chassagne
chosen
Régine Chassagne is a Canadian multi-instrumentalist, singer, and songwriter best known as a founding member of the indie rock band Arcade Fire.
-
B.
Françoise Noguès
Françoise Noguès is a French physician best known as the mother of Brigitte Macron, the First Lady of France.
-
C.
Cécile Perret
Cécile Perret was the wife of Swiss industrialist Henri Nestlé, founder of the Nestlé food and beverage company.
-
D.
Édith Chabre
Édith Chabre is a French legal professional and academic administrator known for her work in higher education and for being married to former French Prime Minister Édouard Philippe.
-
E.
Marie-Luce Penchard
Marie-Luce Penchard is a French politician from Guadeloupe who has served in national government and local leadership roles.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7eca6d8c8190b1a11a60d6649f78 |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14bc281688190b65b8224b70f08d7 |
completed | April 4, 2026, 5:34 p.m. |
Created at: March 30, 2026, 7:10 p.m.