Triple
T20880421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Down, Five to Go |
E514129
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Galaxy Song |
—
|
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: Galaxy Song | Statement: [One Down, Five to Go, hasPart, Galaxy Song]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galaxy Song Context triple: [One Down, Five to Go, hasPart, Galaxy Song]
-
A.
Galaxy Song
chosen
"Galaxy Song" is a humorous, science-themed musical number by the British comedy group Monty Python that whimsically explains the vastness and mechanics of the universe.
-
B.
Shooting Star
The Aichi B7A "Shooting Star" was a Japanese World War II carrier-capable torpedo-dive bomber designed for the Imperial Japanese Navy.
-
C.
Shooting Star
"Shooting Star" is an Overwatch animated short focusing on the mech-piloting hero D.Va, showcasing her backstory and heroism in Busan.
-
D.
Shooting Star
"Shooting Star" is a crime novel by Australian author Peter Temple, known for its gritty realism and tightly plotted suspense.
-
E.
Shooting Star
"Shooting Star" is a pop-rock song by Owl City, featured on his 2012 album *The Midsummer Station*.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67974348190bd3484032c0d7b31 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:45 p.m.