Triple
T18207745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cocaine Nights |
E435949
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Flamingo |
—
|
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: Flamingo | Statement: [Cocaine Nights, publisher, Flamingo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flamingo Context triple: [Cocaine Nights, publisher, Flamingo]
-
A.
Flamingo
chosen
Flamingo is a British publishing imprint known for releasing notable literary fiction and non-fiction titles.
-
B.
Flamingo
Flamingo is a large red steel abstract sculpture by Alexander Calder located in Chicago’s Federal Plaza.
-
C.
Flamingo
Flamingo is the debut solo studio album by Brandon Flowers, the lead singer of The Killers, featuring a blend of alternative rock and heartland-influenced pop.
-
D.
FLAMINGOS
FLAMINGOS is a near-infrared imaging spectrograph used in astronomical observations, known for enabling wide-field infrared studies of celestial objects.
-
E.
Flamengos
Flamengos is a civil parish on Faial Island in the Azores, Portugal, known for its rural landscape and proximity to the island’s main town, Horta.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e2261a848190b62a8485009f8f38 |
completed | April 19, 2026, 2:09 p.m. |
Created at: April 10, 2026, 10:32 a.m.