Triple
T5791531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Journey to Italy |
E128404
|
entity |
| Predicate | basedOn |
P98
|
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: [Journey to Italy, basedOn, Colette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colette Context triple: [Journey to Italy, basedOn, 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.
Marie Caron
Marie Caron was a member of the Caron family and the sister of French playwright and polymath Pierre-Augustin Caron de Beaumarchais.
-
C.
Georgette Leblanc
Georgette Leblanc was a French operatic soprano and actress known for her performances in symbolist works and her close association with the literary and artistic circles of the late 19th and early 20th centuries.
-
D.
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.
-
E.
Émilie Aubert
Émilie Aubert was the mother of renowned French novelist and playwright Émile Zola.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a56c73c81908a1c72c86e474b54 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09820f5c08190811e848eb44ce5b9 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:51 p.m.