Triple
T6079940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Paquin |
E135496
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Anna Hélène Paquin |
E135496
|
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: Anna Hélène Paquin | Statement: [Anna Paquin, birthName, Anna Hélène Paquin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Hélène Paquin Context triple: [Anna Paquin, birthName, Anna Hélène Paquin]
-
A.
Anna Paquin
chosen
Anna Paquin is an Academy Award–winning Canadian-born New Zealand actress known for films such as "The Piano," the "X-Men" series, and the TV series "True Blood."
-
B.
Danielle Nicolet
Danielle Nicolet is an American actress best known for her role as Cecile Horton on the superhero television series "The Flash."
-
C.
Rachelle Lefevre
Rachelle Lefevre is a Canadian actress best known for her roles in the Twilight film series and various American television dramas.
-
D.
Zoé Laurier
Zoé Laurier was the wife of Sir Wilfrid Laurier, Canada’s seventh prime minister, and a prominent figure in Canadian political and social circles in the late 19th and early 20th centuries.
-
E.
Melanie Thierry
Melanie Thierry is a French actress and former model known for her roles in both European cinema and international films.
- 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0577209b88190afe5b1365cf6436d |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1252a178c81909a3d689ad748fb5e |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:11 p.m.