Triple
T22848246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Brown |
E566281
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | XXX |
—
|
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: XXX | Statement: [Danny Brown, album, XXX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XXX Context triple: [Danny Brown, album, XXX]
-
A.
XXX
chosen
XXX is the Roman numeral representing the number 30.
-
B.
XXXX
XXXX is a popular Australian beer brand best known for its easy-drinking lagers and strong association with Queensland’s drinking culture.
-
C.
XX
XX is the Super Bowl game for which the 1985 AFC Championship Game determined the American Football Conference representative.
-
D.
XXXO
XXXO is a 2010 electropop single by British-Sri Lankan artist M.I.A., known for its catchy, autotune-heavy sound and commentary on digital-age relationships.
-
E.
XU
XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e89ab348190a31260221195ae67 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.