Triple
T21722923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fragile |
E536205
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Cherrelle |
—
|
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: Cherrelle | Statement: [Fragile, performer, Cherrelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherrelle Context triple: [Fragile, performer, Cherrelle]
-
A.
Cherrelle
chosen
Cherrelle is an American R&B singer best known for her 1980s hits and collaborations with producers Jimmy Jam and Terry Lewis.
-
B.
Cheryl Lynn
Cheryl Lynn is an American R&B and disco singer best known for her 1978 hit single "Got to Be Real."
-
C.
Cherelle
Cherelle is an American politician best known for serving as the mayor of Philadelphia.
-
D.
Cherie
Cherie is the naive yet determined young woman who becomes the romantic focus of the cowboy in the classic stage play and film "Bus Stop."
-
E.
Chonita Coleman
Chonita Coleman is a notable member of the Sista organization, recognized for her contributions and involvement within the group.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97150c08190861bdc35416665a9 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.