Triple
T17365307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belly |
E422174
|
entity |
| Predicate | song |
P20452
|
FINISHED |
| Object | Slow Dog |
—
|
NE ONNED1 |
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: Slow Dog | Statement: [Belly, song, Slow Dog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slow Dog Context triple: [Belly, song, Slow Dog]
-
A.
Slow Dog
chosen
"Slow Dog" is an alternative rock song by American musician Tanya Donelly, best known from her work with the band Belly.
-
B.
Slow Man
Slow Man is a novel by Nobel Prize–winning author J. M. Coetzee that explores aging, disability, and identity through the story of a photographer whose life is transformed after a debilitating accident.
-
C.
Slow Show
"Slow Show" is a reflective, emotionally charged indie rock song by The National from their acclaimed 2007 album *Boxer*.
-
D.
Sleepy Dog
Sleepy Dog is a component or segment of the larger work "1000 Days," likely serving as one of its notable parts or chapters.
-
E.
Shaggydog
Shaggydog is the fierce black direwolf companion of Rickon Stark in the world of A Song of Ice and Fire and its television adaptation Game of Thrones.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a5016508190b0020471c9567065 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019564d2c0819095337b6e769d9ff5 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:44 a.m.