Triple
T15578653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mosaic (TV series) |
E374434
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Maya Kazan
Maya Kazan is an American actress known for her work in film, television, and theater, including roles in projects like the HBO series "Mosaic."
|
E1165840
|
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: Maya Kazan | Statement: [Mosaic (TV series), stars, Maya Kazan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maya Kazan Context triple: [Mosaic (TV series), stars, Maya Kazan]
-
A.
Maya Imhoof
Maya Imhoof is a film producer best known for her work on the acclaimed Swiss drama "The Boat Is Full."
-
B.
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.
-
C.
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."
-
D.
Tali Sasson
Tali Sasson is an Israeli lawyer and former state prosecutor best known for authoring the 2005 Sasson Report on illegal outposts in the West Bank.
-
E.
Rebecca Dayan
Rebecca Dayan is a French actress and model known for her roles in film and television, including portraying Elsa Peretti in the Netflix miniseries "Halston."
- 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: Maya Kazan Triple: [Mosaic (TV series), stars, Maya Kazan]
Generated description
Maya Kazan is an American actress known for her work in film, television, and theater, including roles in projects like the HBO series "Mosaic."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maya Kazan Target entity description: Maya Kazan is an American actress known for her work in film, television, and theater, including roles in projects like the HBO series "Mosaic."
-
A.
Maya Imhoof
Maya Imhoof is a film producer best known for her work on the acclaimed Swiss drama "The Boat Is Full."
-
B.
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.
-
C.
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."
-
D.
Tali Sasson
Tali Sasson is an Israeli lawyer and former state prosecutor best known for authoring the 2005 Sasson Report on illegal outposts in the West Bank.
-
E.
Rebecca Dayan
Rebecca Dayan is a French actress and model known for her roles in film and television, including portraying Elsa Peretti in the Netflix miniseries "Halston."
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e24064c8190b132c3092877fbfa |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4b3a8881909d41204a0b243461 |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff50ad13b88190adb51231ea967889 |
completed | May 9, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff512549088190880a57fcf66914a8 |
completed | May 9, 2026, 3:22 p.m. |
Created at: April 10, 2026, 4:11 a.m.