Triple
T20738955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharon Case |
E509787
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sharon Case |
—
|
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: Sharon Case | Statement: [Sharon Case, name, Sharon Case]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharon Case Context triple: [Sharon Case, name, Sharon Case]
-
A.
Sharon Case
chosen
Sharon Case is an American actress best known for her long-running role as Sharon Newman on the soap opera "The Young and the Restless."
-
B.
Sharon Warren
Sharon Warren is an American actress best known for her portrayal of Ray Charles’s mother, Aretha Robinson, in the biographical film "Ray."
-
C.
Karen Disher
Karen Disher is an American storyboard artist, director, and voice actress known for her work on animated films and television series, including the Ice Age franchise.
-
D.
Beth Sully
Beth Sully is known as the wife of American screenwriter and film producer Frank Butler.
-
E.
Kate Gekko
Kate Gekko is a character associated with the "Wall Street" film universe as the wife of the infamous corporate raider Gordon Gekko.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20c36708190898b889b6989fc7d |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:32 p.m.