Triple
T16766425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shtisel |
E407475
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Lipa Weiss
Lipa Weiss is a central character in the Israeli television drama "Shtisel," which portrays the lives of a Haredi Jewish family in Jerusalem.
|
E1237602
|
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: Lipa Weiss | Statement: [Shtisel, mainCharacter, Lipa Weiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lipa Weiss Context triple: [Shtisel, mainCharacter, Lipa Weiss]
-
A.
Therese Weiss
Therese Weiss was the wife of the influential German classical scholar and archaeologist Christian Gottlob Heyne.
-
B.
Fran Weissler
Fran Weissler is a prominent American Broadway producer known for her award-winning revivals and long-running hits alongside her husband, Barry Weissler.
-
C.
Clara Weiss
Clara Weiss is a relatively obscure individual whose specific public achievements or biographical details are not widely documented.
-
D.
Giula Sandler
Giula Sandler is a screenwriter best known for her work on the British true-crime drama series "White House Farm."
-
E.
Anna Schloss
Anna Schloss was the wife of renowned American value investor Walter Schloss.
- 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: Lipa Weiss Triple: [Shtisel, mainCharacter, Lipa Weiss]
Generated description
Lipa Weiss is a central character in the Israeli television drama "Shtisel," which portrays the lives of a Haredi Jewish family in Jerusalem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lipa Weiss Target entity description: Lipa Weiss is a central character in the Israeli television drama "Shtisel," which portrays the lives of a Haredi Jewish family in Jerusalem.
-
A.
Therese Weiss
Therese Weiss was the wife of the influential German classical scholar and archaeologist Christian Gottlob Heyne.
-
B.
Fran Weissler
Fran Weissler is a prominent American Broadway producer known for her award-winning revivals and long-running hits alongside her husband, Barry Weissler.
-
C.
Clara Weiss
Clara Weiss is a relatively obscure individual whose specific public achievements or biographical details are not widely documented.
-
D.
Giula Sandler
Giula Sandler is a screenwriter best known for her work on the British true-crime drama series "White House Farm."
-
E.
Anna Schloss
Anna Schloss was the wife of renowned American value investor Walter Schloss.
- 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_6a00c2993f4c8190aecf29a4bcbf7b6a |
completed | May 10, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a00c41e33c481908694a0e62f630b29 |
completed | May 10, 2026, 5:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00c4771f2481909189bd5c2646caf2 |
completed | May 10, 2026, 5:46 p.m. |
Created at: April 10, 2026, 5:21 a.m.