Triple
T18084395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheryl Crow |
E432796
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sheryl |
—
|
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: Sheryl | Statement: [Sheryl Crow, givenName, Sheryl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheryl Context triple: [Sheryl Crow, givenName, Sheryl]
-
A.
Sheryl
chosen
Sheryl is a feminine given name most prominently associated with Sheryl Sandberg, the American technology executive and former COO of Meta Platforms.
-
B.
Sherri
Sherri is an American daytime talk show hosted by comedian and actress Sherri Shepherd, known for its celebrity interviews, pop culture commentary, and comedic monologues.
-
C.
Scherrie
Scherrie is a feminine given name most notably associated with American singer Scherrie Payne of The Supremes.
-
D.
Shirlee
Shirlee is an alternative given name spelling of Shirley, typically used as a feminine first name.
-
E.
Trisha
Trisha is a prominent Indian actress best known for her leading roles in Tamil films and her significant impact on South Indian cinema.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fcdbec819085752e7605ae7772 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.