Triple
T4505178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euphoria |
E101315
|
entity |
| Predicate | star |
P23405
|
FINISHED |
| Object |
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.
|
E450511
|
NE FINISHED |
How this triple was built (4 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: Sydney Sweeney | Statement: [Euphoria, star, Sydney Sweeney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sydney Sweeney Context triple: [Euphoria, star, Sydney Sweeney]
-
A.
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."
-
B.
Hunter Schafer
Hunter Schafer is an American model, actress, and LGBTQ+ activist best known for her breakout role as Jules Vaughn in the HBO series "Euphoria."
-
C.
Lana Condor
Lana Condor is a Vietnamese-American actress best known for starring as Lara Jean Covey in the Netflix film series "To All the Boys I've Loved Before."
-
D.
Suki Waterhouse
Suki Waterhouse is an English model, actress, and singer known for her fashion work, film roles, and music career.
-
E.
Sadie Sink
Sadie Sink is an American actress best known for her role as Max Mayfield on the Netflix science fiction-horror series "Stranger Things."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sydney Sweeney Triple: [Euphoria, star, Sydney Sweeney]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sydney Sweeney Target entity description: 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.
-
A.
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."
-
B.
Hunter Schafer
Hunter Schafer is an American model, actress, and LGBTQ+ activist best known for her breakout role as Jules Vaughn in the HBO series "Euphoria."
-
C.
Lana Condor
Lana Condor is a Vietnamese-American actress best known for starring as Lara Jean Covey in the Netflix film series "To All the Boys I've Loved Before."
-
D.
Suki Waterhouse
Suki Waterhouse is an English model, actress, and singer known for her fashion work, film roles, and music career.
-
E.
Sadie Sink
Sadie Sink is an American actress best known for her role as Max Mayfield on the Netflix science fiction-horror series "Stranger Things."
- F. None of above. chosen
Provenance (5 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56fe17608190ae5dc27052b7c337 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacce0f10819092e92c144627344b |
completed | March 20, 2026, 8:23 p.m. |
| NEDg | Description generation | batch_69bdada277948190bc8b1a412da02978 |
completed | March 20, 2026, 8:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdae10bf2481908397c9c332289bb1 |
completed | March 20, 2026, 8:29 p.m. |
Created at: March 20, 2026, 1:01 p.m.