Triple
T17211635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahamas |
E417744
|
entity |
| Predicate | hasAssociatedAct |
P2830
|
FINISHED |
| Object | Feist |
E363140
|
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: Feist | Statement: [Bahamas, hasAssociatedAct, Feist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feist Context triple: [Bahamas, hasAssociatedAct, Feist]
-
A.
Feist
chosen
Feist is a Canadian indie pop singer-songwriter known for her distinctive vocals and critically acclaimed albums like "Let It Die" and "The Reminder."
-
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.
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)."
-
D.
Juno Skinner
Juno Skinner is a seductive and ruthless art dealer who secretly collaborates with terrorists in the action film "True Lies."
-
E.
Fiona Apple
Fiona Apple is an American singer-songwriter and pianist known for her emotionally intense lyrics, distinctive vocal style, and critically acclaimed albums such as "Tidal" and "When the Pawn..."
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc5a51481908d5ea0f9a1e9aa8b |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01674fadc48190aa4a627ec9f72341 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.