Triple
T22037598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilo Kish |
E544250
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kilo Kish |
—
|
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: Kilo Kish | Statement: [Kilo Kish, name, Kilo Kish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kilo Kish Context triple: [Kilo Kish, name, Kilo Kish]
-
A.
Kilo Kish
chosen
Kilo Kish is an American singer, songwriter, and visual artist known for her experimental blend of R&B, electronic, and hip-hop influences and her collaborations within the alternative rap scene.
-
B.
Kilolo
Kilolo is a town in southern Tanzania that serves as an administrative and local commercial center within the Iringa Region.
-
C.
KISHAIR
KISHAIR is the radio callsign used by Kish Air, an Iranian airline operating domestic and regional passenger services.
-
D.
Koshish
Koshish is a critically acclaimed 1972 Hindi film directed by Gulzar, known for its sensitive portrayal of a deaf-mute couple’s struggles and featuring a powerful performance by Jaya Bhaduri.
-
E.
Killa Kali
Killa Kali is a track featured on Daz Dillinger’s West Coast hip hop album "Tha Dogg Pound Gangsta LP."
- 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f32edc81909b6898af6621f56f |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:25 p.m.