Triple
T8731124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Trébuchet |
E207256
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sophie Trébuchet |
E207256
|
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: Sophie Trébuchet | Statement: [Sophie Trébuchet, name, Sophie Trébuchet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie Trébuchet Context triple: [Sophie Trébuchet, name, Sophie Trébuchet]
-
A.
Sophie Trébuchet
chosen
Sophie Trébuchet was the mother of French writer Victor Hugo and a significant early influence in his life.
-
B.
Sophie Moniotte
Sophie Moniotte is a French ice dancer best known for her successful partnership with Pascal Lavanchy, with whom she won multiple European medals and competed at the Olympic Games in the 1990s.
-
C.
Sophie Dumond
Sophie Dumond is Arthur Fleck’s single-mother neighbor and tentative love interest in the 2019 film "Joker," representing his yearning for connection and normalcy amid his psychological unraveling.
-
D.
Sophie Labbé
Sophie Labbé is a renowned French perfumer known for creating numerous successful fragrances for major international luxury brands.
-
E.
Sophie Vavasseur
Sophie Vavasseur is an Irish actress best known for her role in the film "Evelyn" and appearances in various horror and drama productions.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d27efb88190b42d5bc9774d9c63 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf292d71ec819082095cb7b8b2d39c |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:37 p.m.