Triple
T16673429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherilyn Sarkisian |
E405158
|
entity |
| Predicate | hasWonEGOTComponent |
P53972
|
FINISHED |
| Object | Emmy |
E201240
|
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: Emmy | Statement: [Cherilyn Sarkisian, hasWonEGOTComponent, Emmy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmy Context triple: [Cherilyn Sarkisian, hasWonEGOTComponent, Emmy]
-
A.
Emmy
Emmy is the affectionate nickname of Emmy Noether, the pioneering German mathematician renowned for her groundbreaking contributions to abstract algebra and theoretical physics.
-
B.
Emmy
Emmy is the iconic winged woman holding an atom statuette that serves as the symbol and trophy for the Primetime Emmy Awards.
-
C.
Emmy Destinn
Emmy Destinn was a celebrated Czech dramatic soprano of the early 20th century, renowned for her powerful voice and leading roles at major opera houses such as the Metropolitan Opera.
-
D.
Emmy statuette
chosen
The Emmy statuette is the iconic winged woman holding an atom that serves as the prestigious trophy awarded for excellence in the television industry.
-
E.
Emmy Brown
Emmy Brown is a character in the 1941 romantic drama film "Hold Back the Dawn," serving as part of the story’s emotional and narrative development.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6904008190a79ab30b6d9ccae9 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3916508190bd5edd91310ddb5a |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.