Triple
T2139879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratatouille |
E46736
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Linguini |
E232244
|
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: Linguini | Statement: [Ratatouille, mainCharacter, Linguini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linguini Context triple: [Ratatouille, mainCharacter, Linguini]
-
A.
Linguini
chosen
Linguini is the clumsy yet kind-hearted young chef from Disney-Pixar’s Ratatouille who secretly teams up with the rat Remy to create extraordinary dishes.
-
B.
Meatballs
Meatballs is a 1979 comedy film that helped establish Bill Murray as a major comedic star through his role as an irreverent summer camp counselor.
-
C.
Alvito
Alvito is a small Portuguese municipality in the Alentejo region, known for its historic castle and traditional rural landscape.
-
D.
Alfredo
Alfredo is a masculine given name, commonly used in Italian, Spanish, and Portuguese-speaking countries, derived from the name Alfred.
-
E.
Prego
Prego is a popular American brand of pasta sauces known for its thick, tomato-based varieties and wide range of flavors.
- 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.