Triple
T2422313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keira Knightley |
E53444
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Colette |
E190371
|
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 | Statement: [Keira Knightley, notableWork, Colette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colette Context triple: [Keira Knightley, notableWork, Colette]
-
A.
Colette
chosen
Colette was a renowned French novelist and memoirist, celebrated for works such as "Gigi" and "Claudine" that explored female identity, sensuality, and independence.
-
B.
Colette Tatou
Colette Tatou is a skilled and tough-minded French chef from Pixar's "Ratatouille" who mentors Linguini in the kitchen of Gusteau's restaurant.
-
C.
Émilie Aubert
Émilie Aubert was the mother of renowned French novelist and playwright Émile Zola.
-
D.
Madame Moitessier
Madame Moitessier is a celebrated mid-19th-century portrait painting by French Neoclassical artist Jean-Auguste-Dominique Ingres, renowned for its meticulous detail and idealized depiction of bourgeois elegance.
-
E.
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.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc971093481909c8924d58187860c |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf5b1bb8819095920d702c180d3f |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 6, 2026, 9:42 p.m.