Triple
T20652239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Get Weak |
E507524
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | The Go-Go's |
—
|
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: The Go-Go's | Statement: [I Get Weak, associatedAct, The Go-Go's]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Go-Go's Context triple: [I Get Weak, associatedAct, The Go-Go's]
-
A.
The Go-Go’s
chosen
The Go-Go’s are an American all-female rock band, best known for their early 1980s new wave hits like “We Got the Beat” and “Our Lips Are Sealed.”
-
B.
The Bangles
The Bangles are an American all-female pop rock band best known for 1980s hits like "Walk Like an Egyptian," "Manic Monday," and "Eternal Flame."
-
C.
En Vogue
En Vogue is an American R&B/pop vocal girl group known for their powerful harmonies and a string of hits since the early 1990s.
-
D.
The Weather Girls
The Weather Girls were an American female musical duo best known for their 1982 disco and dance hit "It's Raining Men."
-
E.
Sister Sledge
Sister Sledge is an American vocal group best known for their disco-era hits like "We Are Family" and "He's the Greatest Dancer."
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af22d6bc8190b9d6877aba5704eb |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.