Triple
T14709444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am Not Okay with This |
E345508
|
entity |
| Predicate | protagonist |
P268
|
FINISHED |
| Object | Sydney Novak |
E730115
|
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: Sydney Novak | Statement: [I Am Not Okay with This, protagonist, Sydney Novak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sydney Novak Context triple: [I Am Not Okay with This, protagonist, Sydney Novak]
-
A.
Sydney Novak
chosen
Sydney Novak is the troubled telekinetic teenager at the center of the Netflix coming-of-age series "I Am Not Okay with This."
-
B.
Lyla Novacek
Lyla Novacek is a gifted cellist and one of the central characters in the musical drama film "August Rush."
-
C.
Alexandra Roach
Alexandra Roach is a Welsh actress known for her work in film and television, including roles in projects such as "The Iron Lady" and various British TV dramas.
-
D.
Sydney Shapiro
Sydney Shapiro is an American actress and former model best known as the wife of Uber CEO Dara Khosrowshahi.
-
E.
Mia Dolan
Mia Dolan is an aspiring actress in Los Angeles and one of the two central protagonists of the musical film "La La Land."
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb9814e0c8190984ac30d276499cc |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb845de08190b933d90809cde830 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.