Triple
T17012505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chandelier |
E412734
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Sia Furler |
E199040
|
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: Sia Furler | Statement: [Chandelier, writer, Sia Furler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sia Furler Context triple: [Chandelier, writer, Sia Furler]
-
A.
Sia
chosen
Sia is an Australian singer-songwriter and pop artist known for her powerful vocals, emotive songwriting, and distinctive visual style featuring face-obscuring wigs.
-
B.
Sky Ferreira
Sky Ferreira is an American singer, songwriter, model, and actress known for her synth-pop and indie pop music, particularly her critically acclaimed debut album "Night Time, My Time."
-
C.
Imogen Heap
Imogen Heap is an English singer-songwriter, producer, and audio innovator known for her experimental electronic music and pioneering work with music technology such as the Mi.Mu gloves.
-
D.
Emily King
Emily King is an American singer-songwriter known for her soulful blend of R&B, pop, and jazz influences and her critically acclaimed, Grammy-nominated work.
-
E.
Tove Lo
Tove Lo is a Swedish singer-songwriter and pop artist known for her candid, emotionally raw lyrics and hits like "Habits (Stay High)."
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47cc17c819087f7bd27582bcbfa |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ed0b78481909a11c1529db6c1cd |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:33 a.m.