Triple
T5154923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadie Sink |
E116285
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sadie Sink |
E116285
|
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: Sadie Sink | Statement: [Sadie Sink, name, Sadie Sink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sadie Sink Context triple: [Sadie Sink, name, Sadie Sink]
-
A.
Sadie Sink
chosen
Sadie Sink is an American actress best known for her role as Max Mayfield on the Netflix science fiction-horror series "Stranger Things."
-
B.
Samara Weaving
Samara Weaving is an Australian actress known for her roles in film and television, particularly in horror-comedy and thriller projects such as "Ready or Not" and "The Babysitter."
-
C.
Natalia Dyer
Natalia Dyer is an American actress best known for her role as Nancy Wheeler in the Netflix science fiction-horror series "Stranger Things."
-
D.
Sydney Sweeney
Sydney Sweeney is an American actress known for her breakout role as Cassie Howard in the HBO drama series "Euphoria" and for her work in both television and film.
-
E.
Haley Bennett
Haley Bennett is an American actress and singer known for her versatile performances in films such as "The Girl on the Train," "The Magnificent Seven," and "Swallow."
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd78ddb01081909457ff4208eac4d7 |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee07283c08190a8fc23d3041275ee |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:44 p.m.