Triple
T22192912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Langmaid |
E548473
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | La Roux |
—
|
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: La Roux | Statement: [Ben Langmaid, associatedAct, La Roux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Roux Context triple: [Ben Langmaid, associatedAct, La Roux]
-
A.
La Roux
chosen
La Roux is an English synth-pop act best known for its distinctive falsetto vocals and hit singles like "Bulletproof" and "In for the Kill."
-
B.
Cate Le Bon
Cate Le Bon is a Welsh musician and singer-songwriter known for her distinctive, off-kilter art rock and folk-influenced sound.
-
C.
The Dø
The Dø is a French-Finnish indie pop band known for its eclectic sound blending experimental rock, folk, and electronic influences.
-
D.
Zavia Beach
Zavia Beach is a small, scenic pebble beach with clear turquoise waters near the coastal village of Syvota in northwestern Greece, popular for swimming and relaxation.
-
E.
Aimee Mott
Aimee Mott was the wife of American industrialist and philanthropist Charles Stewart Mott, associated with his prominent role in the early automotive industry and civic life.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae552908190b38c3d765bcfb68a |
completed | April 28, 2026, 9:47 p.m. |
Created at: April 16, 2026, 8:35 p.m.