Triple
T17439437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meant to Be |
E424108
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Bebe Rexha |
—
|
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: Bebe Rexha | Statement: [Meant to Be, writer, Bebe Rexha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bebe Rexha Context triple: [Meant to Be, writer, Bebe Rexha]
-
A.
Bebe Rexha
chosen
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.
-
B.
Jessie Reyez
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."
-
C.
Lyndsy Fonseca
Lyndsy Fonseca is an American actress known for her roles in television series such as "How I Met Your Mother," "Nikita," and "Desperate Housewives," as well as films like "Kick-Ass."
-
D.
Ava Max
Ava Max is an American pop singer and songwriter best known for her hit single "Sweet but Psycho" and her dance-pop anthems.
-
E.
Alina Baraz
Alina Baraz is an American singer and songwriter known for her atmospheric, R&B-influenced electronic pop and collaborations with producers like Galimatias.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff63e5481908a3ea0aa221360c5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 5:46 a.m.