Triple
T16766408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shtisel |
E407475
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Ori Elon
Ori Elon is an Israeli screenwriter and author best known for co-creating the acclaimed television drama series "Shtisel."
|
E1231918
|
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: Ori Elon | Statement: [Shtisel, creator, Ori Elon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ori Elon Context triple: [Shtisel, creator, Ori Elon]
-
A.
Keila
Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
-
B.
Orsa
Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
-
C.
Oden
Oden is a small unincorporated community and census-designated place in Emmet County, Michigan, known for its location along Crooked Lake and the historic Oden State Fish Hatchery.
-
D.
Oden
Oden is a surname most notably associated with J. Tinsley Oden, a prominent American engineer and mathematician known for his contributions to computational mechanics.
-
E.
Yoron
Yoron is a small subtropical island town in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and traditional Ryukyuan-influenced culture.
- 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: Ori Elon Triple: [Shtisel, creator, Ori Elon]
Generated description
Ori Elon is an Israeli screenwriter and author best known for co-creating the acclaimed television drama series "Shtisel."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ori Elon Target entity description: Ori Elon is an Israeli screenwriter and author best known for co-creating the acclaimed television drama series "Shtisel."
-
A.
Keila
Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
-
B.
Orsa
Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
-
C.
Oden
Oden is a small unincorporated community and census-designated place in Emmet County, Michigan, known for its location along Crooked Lake and the historic Oden State Fish Hatchery.
-
D.
Oden
Oden is a surname most notably associated with J. Tinsley Oden, a prominent American engineer and mathematician known for his contributions to computational mechanics.
-
E.
Yoron
Yoron is a small subtropical island town in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and traditional Ryukyuan-influenced culture.
- 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.