Triple
T12199635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirty Deeds Done Dirt Cheap |
E290677
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Big Balls |
E971398
|
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: Big Balls | Statement: [Dirty Deeds Done Dirt Cheap, notableSong, Big Balls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Balls Context triple: [Dirty Deeds Done Dirt Cheap, notableSong, Big Balls]
-
A.
Big Balls
chosen
"Big Balls" is a humorous, innuendo-laden rock song by AC/DC, known for its tongue-in-cheek lyrics and classic hard rock style.
-
B.
Blue Balls
"Blue Balls" is the original title of the famous Count Basie jazz standard later known as "One O’Clock Jump."
-
C.
Big Butt
Big Butt is a prominent mountain peak in the Black Mountains range of western North Carolina, known for its forested slopes and scenic hiking opportunities.
-
D.
Big Pants
Big Pants is the popular nickname for Beijing's iconic, loop-shaped CCTV Headquarters skyscraper, known for its striking and unconventional architecture.
-
E.
Giga Burlesca
Giga Burlesca is a lively, dance-like orchestral movement known for its playful, burlesque character within the Partita for Orchestra.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c79f6cc8190ae8163d2016078c0 |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e549e688190967c00f437a388db |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:50 p.m.