Triple
T22484999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Boat |
E555855
|
entity |
| Predicate | previousWork |
P9710
|
FINISHED |
| Object | Fuego |
—
|
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: Fuego | Statement: [Big Boat, previousWork, Fuego]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuego Context triple: [Big Boat, previousWork, Fuego]
-
A.
Fuego
Fuego is an active stratovolcano in Guatemala known for its frequent explosive eruptions and dramatic ash plumes.
-
B.
Fuego
chosen
Fuego is a studio album by the American jam band Phish, known for its improvisational rock compositions and live performance staples.
-
C.
Fuego
Fuego is a 1960 hard bop jazz album by trumpeter Donald Byrd, noted for its fiery playing and classic Blue Note sound.
-
D.
Fuego
Fuego is a given name of Spanish origin meaning “fire,” used both as a first and middle name.
-
E.
Fuego
Fuego is a 1969 Argentine erotic drama film starring Isabel Sarli, known for its provocative themes and cult status in Latin American cinema.
- 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3bb8cc8190950efd84ebe86b73 |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.