Triple
T9958174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moni Naor |
E195495
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object |
Moti Yung
Moti Yung is a prominent computer scientist and cryptographer known for influential contributions to modern cryptography, security protocols, and privacy-preserving technologies.
|
E831742
|
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: Moti Yung | Statement: [Moni Naor, coAuthor, Moti Yung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moti Yung Context triple: [Moni Naor, coAuthor, Moti Yung]
-
A.
Moti Safra
Moti Safra is a theoretical computer scientist recognized for his influential contributions to complexity theory and automata, honored with the prestigious EATCS Award.
-
B.
Ori Marmur
Ori Marmur is a film producer known for his work on the science fiction thriller "Passengers."
-
C.
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.
-
D.
Alon Shvut
Alon Shvut is an Israeli settlement in the West Bank known for its religious Zionist community and proximity to Jerusalem.
-
E.
Ilan Eshkeri
Ilan Eshkeri is a British composer known for his orchestral film scores and collaborations on movies, television, and video games.
- 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: Moti Yung Triple: [Moni Naor, coAuthor, Moti Yung]
Generated description
Moti Yung is a prominent computer scientist and cryptographer known for influential contributions to modern cryptography, security protocols, and privacy-preserving technologies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moti Yung Target entity description: Moti Yung is a prominent computer scientist and cryptographer known for influential contributions to modern cryptography, security protocols, and privacy-preserving technologies.
-
A.
Moti Safra
Moti Safra is a theoretical computer scientist recognized for his influential contributions to complexity theory and automata, honored with the prestigious EATCS Award.
-
B.
Ori Marmur
Ori Marmur is a film producer known for his work on the science fiction thriller "Passengers."
-
C.
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.
-
D.
Alon Shvut
Alon Shvut is an Israeli settlement in the West Bank known for its religious Zionist community and proximity to Jerusalem.
-
E.
Ilan Eshkeri
Ilan Eshkeri is a British composer known for his orchestral film scores and collaborations on movies, television, and video games.
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6cec7dc8190bb7e43c82a317707 |
completed | April 2, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d7988948190bae81c1020f2b605 |
completed | April 5, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_69d23e6ee6d48190ae724d0ee96b64bf |
completed | April 5, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d23fd274dc8190b7af27cf503d7dc6 |
completed | April 5, 2026, 10:56 a.m. |
Created at: March 30, 2026, 8:46 p.m.