Triple
T6543287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ehud Barak |
E168341
|
entity |
| Predicate | formerSpouse |
P493
|
FINISHED |
| Object |
Nava Cohen-Barak
Nava Cohen-Barak is an Israeli figure best known as the former wife of former Prime Minister and Defense Minister Ehud Barak.
|
E610389
|
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: Nava Cohen-Barak | Statement: [Ehud Barak, formerSpouse, Nava Cohen-Barak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nava Cohen-Barak Context triple: [Ehud Barak, formerSpouse, Nava Cohen-Barak]
-
A.
Basya Cohen
Basya Cohen, better known as Betty Comden, was an American lyricist, screenwriter, and performer famed for her influential work on classic Broadway musicals and Hollywood films.
-
B.
Daphna Kastner
Daphna Kastner is a Canadian actress, screenwriter, and director known for her work in independent films.
-
C.
Gila Almagor
Gila Almagor is a renowned Israeli actress, author, and film producer often referred to as the "first lady of Israeli cinema and theatre."
-
D.
Ariel Porat
Ariel Porat is an Israeli legal scholar and academic leader who serves as president of Tel Aviv University.
-
E.
Nili Priel
Nili Priel is an Israeli public figure best known as the wife of former Prime Minister and Defense Minister Ehud Barak.
- 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: Nava Cohen-Barak Triple: [Ehud Barak, formerSpouse, Nava Cohen-Barak]
Generated description
Nava Cohen-Barak is an Israeli figure best known as the former wife of former Prime Minister and Defense Minister Ehud Barak.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nava Cohen-Barak Target entity description: Nava Cohen-Barak is an Israeli figure best known as the former wife of former Prime Minister and Defense Minister Ehud Barak.
-
A.
Basya Cohen
Basya Cohen, better known as Betty Comden, was an American lyricist, screenwriter, and performer famed for her influential work on classic Broadway musicals and Hollywood films.
-
B.
Daphna Kastner
Daphna Kastner is a Canadian actress, screenwriter, and director known for her work in independent films.
-
C.
Gila Almagor
Gila Almagor is a renowned Israeli actress, author, and film producer often referred to as the "first lady of Israeli cinema and theatre."
-
D.
Ariel Porat
Ariel Porat is an Israeli legal scholar and academic leader who serves as president of Tel Aviv University.
-
E.
Nili Priel
Nili Priel is an Israeli public figure best known as the wife of former Prime Minister and Defense Minister Ehud Barak.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6adeb54d88190a3199f9a517d7232 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eed36a7081909cb70b79f18b0dfc |
completed | March 27, 2026, 8:55 p.m. |
| NEDg | Description generation | batch_69c6f2beccb481908d328320c64e7015 |
completed | March 27, 2026, 9:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f321abd8819096640e037b205cb2 |
completed | March 27, 2026, 9:14 p.m. |
Created at: March 27, 2026, 1:50 p.m.