Triple
T10939220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria McKee |
E258420
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Bangles |
E506807
|
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: Bangles | Statement: [Maria McKee, associatedAct, Bangles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bangles Context triple: [Maria McKee, associatedAct, Bangles]
-
A.
The Bangles
chosen
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."
-
B.
Bananarama
Bananarama is a British female pop music group best known for their 1980s hits like "Cruel Summer" and "Venus."
-
C.
The Go-Go’s
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.”
-
D.
Nazz
Nazz is a popular, easygoing, and kind-hearted girl from the animated series "Ed, Edd n Eddy," often portrayed as the neighborhood crush.
-
E.
Nazz
Nazz was a late-1960s American psychedelic and power pop band best known as Todd Rundgren’s early group and for songs like "Open My Eyes" and "Hello It's Me."
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c1389881909341170984211810 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c0e940081908c84ea4cf3b877fc |
completed | April 17, 2026, 1:56 p.m. |
Created at: April 8, 2026, 9:23 p.m.