Triple
T10718473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teddy Geiger |
E252747
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object | Anne-Marie |
E146311
|
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: Anne-Marie | Statement: [Teddy Geiger, hasCollaboratedWith, Anne-Marie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne-Marie Context triple: [Teddy Geiger, hasCollaboratedWith, Anne-Marie]
-
A.
Anne-Marie
Anne-Marie is an English pop singer and songwriter known for hits like "Alarm" and "2002" and for serving as a coach on The Voice UK.
-
B.
Ann-Marie
Ann-Marie is the protagonist of the novel "Eat My Heart Out," a young woman navigating chaotic relationships and identity in contemporary London.
-
C.
Gabrielle Aplin
Gabrielle Aplin is an English singer-songwriter known for her delicate vocals and folk-influenced pop music, which gained widespread attention through her acoustic covers and original releases.
-
D.
Phoebe Mendes
Phoebe Mendes is the daughter of acclaimed British film and theatre director Sam Mendes.
-
E.
Maggie Rogers
Maggie Rogers is an American singer-songwriter and producer known for her blend of folk, pop, and electronic music and her breakout hit "Alaska."
- 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_69d6ff36558c81908682adbe7b5dce05 |
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.