Triple
T2139880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratatouille |
E46736
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Colette Tatou |
E234677
|
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: Colette Tatou | Statement: [Ratatouille, mainCharacter, Colette Tatou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colette Tatou Context triple: [Ratatouille, mainCharacter, Colette Tatou]
-
A.
Colette Tatou
chosen
Colette Tatou is a skilled and tough-minded French chef from Pixar's "Ratatouille" who mentors Linguini in the kitchen of Gusteau's restaurant.
-
B.
Camille Doncieux
Camille Doncieux was the first wife and frequent model of French Impressionist painter Claude Monet, known for appearing in many of his early masterpieces.
-
C.
Catherine Thierry
Catherine Thierry was a French colonial-era woman best known as the mother of Jean-Baptiste Le Moyne de Bienville, a key founder and governor of French Louisiana.
-
D.
Françoise Noguès
Françoise Noguès is a French physician best known as the mother of Brigitte Macron, the First Lady of France.
-
E.
Aline Chazal
Aline Chazal was the mother of French Post-Impressionist painter Paul Gauguin and a key familial influence during his early life.
- 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbe025d3c81908bcb33a7ff09eae8 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51b37ce08190add9df46cc17ba89 |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:44 p.m.