Triple
T16572399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caetano Veloso |
E402619
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Alegria, Alegria |
E480538
|
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: Alegria, Alegria | Statement: [Caetano Veloso, notableWork, Alegria, Alegria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alegria, Alegria Context triple: [Caetano Veloso, notableWork, Alegria, Alegria]
-
A.
Alegria
Alegria is a coastal municipality in the province of Cebu in the Philippines, known for its natural attractions and rural charm.
-
B.
Alegria
Alegria is a coastal municipality in the province of Surigao del Norte in the Caraga region of the Philippines.
-
C.
Dulce Nombre
Dulce Nombre is a town and municipality located in the Copán Department of western Honduras.
-
D.
Alegranza
Alegranza is a small, uninhabited volcanic island in the Canary Islands, known for its protected natural environment and important seabird colonies.
-
E.
Alegría
chosen
Alegría is one of Cirque du Soleil’s most iconic touring circus productions, renowned for its dramatic themes, acrobatic performances, and memorable music.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35959f1748190934b263d6bc94143 |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ee8812c81908ef74636bf39d44a |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.