Triple
T22379691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potion |
E553237
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Jessie Reyez |
—
|
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: Jessie Reyez | Statement: [Potion, writer, Jessie Reyez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessie Reyez Context triple: [Potion, writer, Jessie Reyez]
-
A.
Jessie Reyez
chosen
Jessie Reyez is a Canadian singer-songwriter known for her raw, emotive vocals and confessional R&B and pop songs such as "Figures" and her EP "Kiddo."
-
B.
Alessia Cara
Alessia Cara is a Canadian singer-songwriter known for her soulful pop music and breakout hits like "Here" and "Scars to Your Beautiful."
-
C.
Kehlani
Kehlani is an American R&B singer, songwriter, and performer known for her emotive vocals, candid lyricism, and genre-blending projects like the mixtape "You Should Be Here" and the album "SweetSexySavage."
-
D.
Saweetie
Saweetie is an American rapper and songwriter known for her catchy, confident hip-hop tracks like "ICY GRL" and "My Type."
-
E.
Bebe Rexha
Bebe Rexha is an American singer, songwriter, and pop artist known for her powerful vocals and chart-topping collaborations across dance, pop, and hip-hop music.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582afe6c819093940f9d817c64a8 |
completed | April 29, 2026, 1 a.m. |
Created at: April 16, 2026, 8:45 p.m.