Triple
T7081905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neneh Cherry |
E164975
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Neneh |
E164975
|
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: Neneh | Statement: [Neneh Cherry, givenName, Neneh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neneh Context triple: [Neneh Cherry, givenName, Neneh]
-
A.
Neneh Cherry
chosen
Neneh Cherry is a Swedish singer, songwriter, and rapper known for her innovative blend of hip hop, pop, and alternative music, particularly her late-1980s and early-1990s hits like "Buffalo Stance."
-
B.
Mirah
Mirah is an American indie singer-songwriter known for her intimate, lo-fi recordings and collaborations within the Pacific Northwest independent music scene.
-
C.
Nena
Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
-
D.
Nanci
Nanci is a feminine given name most notably associated with the late American folk and country singer-songwriter Nanci Griffith.
-
E.
Jean Grae
Jean Grae is an American underground hip-hop MC known for her intricate lyricism, sharp wordplay, and influential role in New York’s indie rap scene.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4f1f5748190b214856bcfc70d81 |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a31c26808190870e6bcdef45d1d7 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:40 p.m.