Triple
T11023677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orna Kupferman |
E260558
|
entity |
| Predicate | doctoralStudent |
P167
|
FINISHED |
| Object |
Sarit Kraus
Sarit Kraus is an Israeli computer scientist known for her influential work in artificial intelligence, multi-agent systems, and human-agent interaction.
|
E907111
|
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: Sarit Kraus | Statement: [Orna Kupferman, doctoralStudent, Sarit Kraus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarit Kraus Context triple: [Orna Kupferman, doctoralStudent, Sarit Kraus]
-
A.
Moti Sasson
Moti Sasson is an Israeli politician who has served as the long-time mayor of the city of Holon, known for promoting urban development and cultural initiatives.
-
B.
Daphna Kastner
Daphna Kastner is a Canadian actress, screenwriter, and director known for her work in independent films.
-
C.
Vered Bar-El
Vered Bar-El is a character featured in the comic book series "The Source."
-
D.
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."
-
E.
Nina Katzir
Nina Katzir was the wife of Israeli President Ephraim Katzir and served as Israel’s First Lady in the 1970s, known for her public and social activities.
- 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: Sarit Kraus Triple: [Orna Kupferman, doctoralStudent, Sarit Kraus]
Generated description
Sarit Kraus is an Israeli computer scientist known for her influential work in artificial intelligence, multi-agent systems, and human-agent interaction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarit Kraus Target entity description: Sarit Kraus is an Israeli computer scientist known for her influential work in artificial intelligence, multi-agent systems, and human-agent interaction.
-
A.
Moti Sasson
Moti Sasson is an Israeli politician who has served as the long-time mayor of the city of Holon, known for promoting urban development and cultural initiatives.
-
B.
Daphna Kastner
Daphna Kastner is a Canadian actress, screenwriter, and director known for her work in independent films.
-
C.
Vered Bar-El
Vered Bar-El is a character featured in the comic book series "The Source."
-
D.
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."
-
E.
Nina Katzir
Nina Katzir was the wife of Israeli President Ephraim Katzir and served as Israel’s First Lady in the 1970s, known for her public and social activities.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797be9f148190a3a967bad5947496 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4419a91b08190a55c7f874a3df0fe |
completed | April 19, 2026, 2:44 a.m. |
| NEDg | Description generation | batch_69e44c0606408190819b9d3fd58f818f |
completed | April 19, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4510dc55081908f89aab15726b2a8 |
completed | April 19, 2026, 3:50 a.m. |
Created at: April 8, 2026, 9:25 p.m.