Triple
T22995976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel Bandeira |
E572191
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Carnaval |
—
|
NE NERFINISHED |
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: Carnaval | Statement: [Manuel Bandeira, notableWork, Carnaval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carnaval Context triple: [Manuel Bandeira, notableWork, Carnaval]
-
A.
Carnaval
chosen
"Carnaval" is a notable work by Brazilian poet Manuel Bandeira, reflecting his modernist style and lyrical exploration of Brazilian life and culture.
-
B.
Carnaval
Carnaval is a celebrated piano suite by Robert Schumann, composed of short character pieces that depict masked revelers at a carnival and various musical personae.
-
C.
Carnaval
"Carnaval" is a vibrant reggaeton-pop song by Colombian singer Maluma that celebrates joy, freedom, and living life like a nonstop party.
-
D.
Carnaval
"Carnaval" is a jazz fusion album by saxophonist Jay Beckenstein, best known as the leader of the band Spyro Gyra.
-
E.
Carnival
"Carnival" is a studio album by Australian country singer-songwriter Kasey Chambers, showcasing her blend of country, folk, and roots music.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f3186c81909e0d5177029a72ae |
completed | April 29, 2026, 4:02 a.m. |
Created at: April 17, 2026, 3:50 p.m.