Triple
T21734827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Too Short |
E536494
|
entity |
| Predicate | notableAlias |
P39
|
FINISHED |
| Object | Short Dog |
—
|
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: Short Dog | Statement: [Too Short, notableAlias, Short Dog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Short Dog Context triple: [Too Short, notableAlias, Short Dog]
-
A.
Short Dog
chosen
Short Dog is the nickname of Too Short, an influential American rapper and producer known for his explicit lyrics and pioneering role in West Coast hip hop.
-
B.
Runt Dog
Runt Dog is a hip-hop music producer known for his work on the 2000 album "Doc's da Name 2000."
-
C.
Short Dawg
Short Dawg is an American rapper known for his Southern hip hop style and collaborations with prominent artists in the mainstream rap scene.
-
D.
Smallbone
Smallbone is the surname of Reverend Adam Smallbone, the fictional Church of England vicar at the center of the British television sitcom "Rev."
-
E.
Pomeranians
Pomeranians are a West Slavic ethnic group native to the historical region of Pomerania along the Baltic Sea, primarily in modern-day Poland and Germany.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0b0da0819098ef03360eea6a0d |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:48 p.m.