Triple
T8550922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luca Paguro |
E202441
|
entity |
| Predicate | fictionalUniverse |
P3758
|
FINISHED |
| Object | Luca universe |
E40302
|
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: Luca universe | Statement: [Luca Paguro, fictionalUniverse, Luca universe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luca universe Context triple: [Luca Paguro, fictionalUniverse, Luca universe]
-
A.
Luca
chosen
Luca is a 2021 Pixar animated film set on the Italian Riviera that follows a young sea monster experiencing a transformative summer on land.
-
B.
Isla de la Luna
Isla de la Luna is a small, culturally significant Bolivian island in Lake Titicaca known for its Inca archaeological ruins and sacred status in Andean mythology.
-
C.
Luka and the Fire of Life
Luka and the Fire of Life is a fantasy novel by Salman Rushdie that follows a boy’s magical quest to save his dying father, blending myth, adventure, and storytelling.
-
D.
Tuttomondo
Tuttomondo is a large, colorful public mural in Pisa, Italy, created by American artist Keith Haring in 1989 and depicting his signature stylized human figures.
-
E.
Fiumetta
Fiumetta is a small watercourse in northern Italy that serves as one of the tributary streams feeding Lake Orta.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe75589d8819096177ddbd3dafcb6 |
completed | March 31, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6dc7f6fc8190addd5d2bbe1f4408 |
completed | April 2, 2026, 1:23 p.m. |
Created at: March 30, 2026, 6:19 p.m.