Triple
T10717225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladytron |
E252708
|
entity |
| Predicate | vocalist |
P2000
|
FINISHED |
| Object | Helen Marnie |
E881260
|
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: Helen Marnie | Statement: [Ladytron, vocalist, Helen Marnie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Marnie Context triple: [Ladytron, vocalist, Helen Marnie]
-
A.
Helen Marnie
Helen Marnie is a Scottish musician and vocalist best known as the lead singer and keyboardist of the electronic band Ladytron.
-
B.
Imelda May
Imelda May is an Irish singer-songwriter known for her distinctive blend of rockabilly, jazz, and blues, as well as her powerful vocals and retro-inspired style.
-
C.
Lucy Marling
Lucy Marling is known as the sister of English folk singer-songwriter Laura Marling.
-
D.
Laura Marling
Laura Marling is an English folk singer-songwriter and guitarist acclaimed for her introspective lyrics and distinctive, mature vocal style.
-
E.
Elizabeth Young
Elizabeth Young was an American actress active in the 1930s who appeared in several Hollywood films before retiring from the screen.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3566e88190b5c0c6d1b159dd45 |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb71dd6f88190beb99ca75914fb09 |
completed | April 12, 2026, 3:15 p.m. |
Created at: April 8, 2026, 9:13 p.m.