Triple
T16554652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go! Discs |
E402163
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | Go! Beat |
E1219673
|
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: Go! Beat | Statement: [Go! Discs, successor, Go! Beat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Go! Beat Context triple: [Go! Discs, successor, Go! Beat]
-
A.
Go! Beat
chosen
Go! Beat was a British record label known for releasing influential dance, electronic, and alternative music in the late 1980s and 1990s.
-
B.
Go!
"Go!" is a high-energy song featured on the album "Be," known for its upbeat tempo and motivational tone.
-
C.
Go!
Go! is a classic 1962 hard bop jazz album by tenor saxophonist Dexter Gordon, widely regarded as one of his finest and most accessible recordings.
-
D.
The Big Beat
The Big Beat is a 1960 hard bop jazz album by drummer Art Blakey and his Jazz Messengers, celebrated for its powerful ensemble playing and classic compositions like "Dat Dere."
-
E.
Jump to the Beat
"Jump to the Beat" is an early-1980s dance-pop/R&B song by American singer Stacy Lattisaw that became one of her signature hits.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc887e881909607653df7fe71be |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006eddb01081908e7ab59264199e15 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:15 a.m.