Triple
T16474375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Z: The Beginning of Everything |
E400148
|
entity |
| Predicate | star |
P23405
|
FINISHED |
| Object | Maya Kazan |
E1165840
|
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: Maya Kazan | Statement: [Z: The Beginning of Everything, star, Maya Kazan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maya Kazan Context triple: [Z: The Beginning of Everything, star, Maya Kazan]
-
A.
Maya Kazan
chosen
Maya Kazan is an American actress known for her work in film, television, and theater, including roles in projects like the HBO series "Mosaic."
-
B.
Maya Imhoof
Maya Imhoof is a film producer best known for her work on the acclaimed Swiss drama "The Boat Is Full."
-
C.
Chaya Kaufman
Chaya Kaufman, better known as Ariel Durant, was a Pulitzer Prize–winning historian and co-author of "The Story of Civilization" alongside her husband Will Durant.
-
D.
Maya Gallo
Maya Gallo is a smart, idealistic journalist and the daughter of Blush magazine’s publisher on the sitcom "Just Shoot Me!", often serving as the show’s moral center amid its fashion-world chaos.
-
E.
Ava Kolker
Ava Kolker is an American actress and singer best known for her role as Ava Morgenstern on the Disney Channel series "Girl Meets World."
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32dd32e048190a9eadd32d6b9374c |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006078da4c8190ba510d92b503e993 |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:13 a.m.