Triple
T7356985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Psych 2: Lassie Come Home |
E169649
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Jazmyn Simon |
E169646
|
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: Jazmyn Simon | Statement: [Psych 2: Lassie Come Home, stars, Jazmyn Simon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jazmyn Simon Context triple: [Psych 2: Lassie Come Home, stars, Jazmyn Simon]
-
A.
Jazmyn Simon
chosen
Jazmyn Simon is an American actress known for her roles on television series such as "Ballers" and "Psych: The Movie."
-
B.
T. Kingfisher
T. Kingfisher is the pen name of American author Ursula Vernon, known for her acclaimed fantasy and horror fiction for both adults and young adults.
-
C.
Emily M. Danforth
Emily M. Danforth is an American novelist best known for her acclaimed coming-of-age LGBTQ+ novel "The Miseducation of Cameron Post."
-
D.
Lauren Munsch
Lauren Munsch is a film producer best known for her work on the coming-of-age drama "The Wackness."
-
E.
Molly Price
Molly Price is an American actress best known for her role as police officer Faith Yokas on the television drama series "Third Watch."
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f13a62e48190a2d1781a630aa9f0 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ec20db88190b68542feaa9d66ef |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 3:06 p.m.