Triple
T16766444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shtisel |
E407475
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object |
Michael Aloni
Michael Aloni is an Israeli actor and filmmaker best known internationally for his starring role in the acclaimed television drama "Shtisel."
|
E1231927
|
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: Michael Aloni | Statement: [Shtisel, leadActor, Michael Aloni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Aloni Context triple: [Shtisel, leadActor, Michael Aloni]
-
A.
Michael Sela
Michael Sela was an Israeli immunologist renowned for his pioneering work on synthetic antigens and for helping develop the multiple sclerosis drug Copaxone.
-
B.
Josh Abraham
Josh Abraham is an American record producer known for his work with prominent rock and alternative bands such as Linkin Park, Limp Bizkit, and Velvet Revolver.
-
C.
Michael Elias
Michael Elias is an American screenwriter, actor, and director best known for co-writing the hit comedy film "The Jerk" starring Steve Martin.
-
D.
Josh Levi
Josh Levi is an American singer and actor known for his music career and for voicing a character in Pixar's animated film "Turning Red."
-
E.
Tal Berkovich
Tal Berkovich is an Israeli model and actress known for her work in fashion campaigns and appearances in film and television.
- 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: Michael Aloni Triple: [Shtisel, leadActor, Michael Aloni]
Generated description
Michael Aloni is an Israeli actor and filmmaker best known internationally for his starring role in the acclaimed television drama "Shtisel."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Aloni Target entity description: Michael Aloni is an Israeli actor and filmmaker best known internationally for his starring role in the acclaimed television drama "Shtisel."
-
A.
Michael Sela
Michael Sela was an Israeli immunologist renowned for his pioneering work on synthetic antigens and for helping develop the multiple sclerosis drug Copaxone.
-
B.
Josh Abraham
Josh Abraham is an American record producer known for his work with prominent rock and alternative bands such as Linkin Park, Limp Bizkit, and Velvet Revolver.
-
C.
Michael Elias
Michael Elias is an American screenwriter, actor, and director best known for co-writing the hit comedy film "The Jerk" starring Steve Martin.
-
D.
Josh Levi
Josh Levi is an American singer and actor known for his music career and for voicing a character in Pixar's animated film "Turning Red."
-
E.
Tal Berkovich
Tal Berkovich is an Israeli model and actress known for her work in fashion campaigns and appearances in film and television.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0330d6081908ce99f14c70b90f2 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a531ea7c81908630f16f6c685d49 |
completed | May 10, 2026, 3:33 p.m. |
| NEDg | Description generation | batch_6a00a5b3ce848190a73f06d9708bfc85 |
completed | May 10, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a6734d008190bb0a5aa28826e73a |
completed | May 10, 2026, 3:38 p.m. |
Created at: April 10, 2026, 5:21 a.m.