Triple
T6585990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Born of You |
E159223
|
entity |
| Predicate | bassist |
P15279
|
FINISHED |
| Object | Ariel Perez |
E613186
|
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: Ariel Perez | Statement: [Born of You, bassist, Ariel Perez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ariel Perez Context triple: [Born of You, bassist, Ariel Perez]
-
A.
Ariel Perez
chosen
Ariel Perez is a musician known for performing with the band Born of You.
-
B.
Everly Carganilla
Everly Carganilla is a young American child actress known for roles in film and television, including the Netflix series "The Chair."
-
C.
Natalie Figueroa
Natalie Figueroa is a fictional prison administrator and later warden in the television series "Orange Is the New Black."
-
D.
Alisa Reyes
Alisa Reyes is an American actress and voice actress best known as an original cast member of the Nickelodeon sketch comedy series "All That" and for voicing LaCienega Boulevardez on Disney Channel's "The Proud Family."
-
E.
Lauren Vélez
Lauren Vélez is an American actress best known for her role as Lieutenant Maria LaGuerta on the television series "Dexter."
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6aeae89308190a26cf090a9b6cf2b |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70ae61a6481908158c3b7d58fd3ce |
completed | March 27, 2026, 10:55 p.m. |
Created at: March 27, 2026, 1:54 p.m.