Triple
T22021117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Made |
E543848
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jayma Mays |
—
|
NE NERFINISHED |
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: Jayma Mays | Statement: [American Made, starring, Jayma Mays]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jayma Mays Context triple: [American Made, starring, Jayma Mays]
-
A.
Jayma Mays
chosen
Jayma Mays is an American actress best known for her roles in the television series "Glee" and films such as "Red Eye" and "Paul Blart: Mall Cop."
-
B.
Meg Boles
Meg Boles is the central character of Harold Pinter’s play "The Birthday Party," around whom the play’s unsettling and ambiguous events revolve.
-
C.
Tamlyn Tomita
Tamlyn Tomita is a Japanese-American actress best known for her breakout role in The Karate Kid Part II and her extensive work in film and television, including projects like The Joy Luck Club and The Man in the High Castle.
-
D.
Stephany Folsom
Stephany Folsom is an American screenwriter best known for co-writing Pixar’s animated film "Toy Story 4" and contributing to various high-profile film and television projects.
-
E.
Angelica McDaniel
Angelica McDaniel is a television executive and producer best known for her leadership roles in daytime programming and development at major U.S. networks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c7b3308190ac056bef6f82722e |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:23 p.m.