Triple
T21642110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Dash |
E534111
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Labelle |
—
|
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: Labelle | Statement: [Sarah Dash, memberOf, Labelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Labelle Context triple: [Sarah Dash, memberOf, Labelle]
-
A.
Labelle
chosen
Labelle is an American R&B and soul trio best known for their 1974 hit "Lady Marmalade" and their fusion of funk, rock, and glam aesthetics.
-
B.
Labelle
Labelle is a federal electoral district in Quebec, Canada, known for its rural communities and historical representation in the Canadian House of Commons.
-
C.
The Angelettes
The Angelettes were a British female vocal group known for providing backing harmonies on various pop and rock recordings in the 1970s.
-
D.
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.
-
E.
The Vogues
The Vogues are an American vocal group best known for their smooth harmonies and 1960s pop hits like "You're The One" and "Five O'Clock World."
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5392343c81909820cb0c3c6a4284 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.