Triple
T13687029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exam |
E328157
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Adar Beck
Adar Beck is an Israeli actress best known for her role in the psychological horror film "Exam" (2009).
|
E1054433
|
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: Adar Beck | Statement: [Exam, hasCastMember, Adar Beck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adar Beck Context triple: [Exam, hasCastMember, Adar Beck]
-
A.
Osnat Shurer
Osnat Shurer is an Israeli-American film producer best known for her work on major Walt Disney Animation Studios features such as "Moana" and "Raya and the Last Dragon."
-
B.
Harel Weinstein
Harel Weinstein is an Israeli-American neuroscientist and biophysicist known for his work on membrane proteins and computational neuroscience.
-
C.
Tamir Greenwood
Tamir Greenwood is a child of Radiohead guitarist and composer Jonny Greenwood.
-
D.
Nir Bergman
Nir Bergman is an Israeli film and television director and screenwriter known for his influential work in character-driven dramas.
-
E.
Shai Friedman
Shai Friedman is a person notable enough to be recognized as a bearer of the surname Friedman, though specific widely known public details about them are not provided.
- 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: Adar Beck Triple: [Exam, hasCastMember, Adar Beck]
Generated description
Adar Beck is an Israeli actress best known for her role in the psychological horror film "Exam" (2009).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adar Beck Target entity description: Adar Beck is an Israeli actress best known for her role in the psychological horror film "Exam" (2009).
-
A.
Osnat Shurer
Osnat Shurer is an Israeli-American film producer best known for her work on major Walt Disney Animation Studios features such as "Moana" and "Raya and the Last Dragon."
-
B.
Harel Weinstein
Harel Weinstein is an Israeli-American neuroscientist and biophysicist known for his work on membrane proteins and computational neuroscience.
-
C.
Tamir Greenwood
Tamir Greenwood is a child of Radiohead guitarist and composer Jonny Greenwood.
-
D.
Nir Bergman
Nir Bergman is an Israeli film and television director and screenwriter known for his influential work in character-driven dramas.
-
E.
Shai Friedman
Shai Friedman is a person notable enough to be recognized as a bearer of the surname Friedman, though specific widely known public details about them are not provided.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc670968881908e2b4fdf656c7285 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944981ec8190be5ff39b7c2c70ab |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f795e361c48190b37060312e7df181 |
completed | May 3, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f796e5c60c8190a19389bc4cdbd658 |
completed | May 3, 2026, 6:41 p.m. |
Created at: April 9, 2026, 9:53 p.m.