Triple
T22019031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nachman |
E543788
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Nachman Shai
Nachman Shai is an Israeli journalist, former IDF spokesperson, and politician who has served as Israel’s Minister of Diaspora Affairs.
|
E1543752
|
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: Nachman Shai | Statement: [Nachman, hasNotableBearer, Nachman Shai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nachman Shai Context triple: [Nachman, hasNotableBearer, Nachman Shai]
-
A.
Alon Shvut
Alon Shvut is an Israeli settlement in the West Bank known for its religious Zionist community and proximity to Jerusalem.
-
B.
Itai Benjamini
Itai Benjamini is an Israeli mathematician known for his influential work in probability theory, particularly in percolation and random walks on graphs.
-
C.
Maor Kohn
Maor Kohn is a television creator best known for co-creating the Israeli espionage thriller series "Tehran."
-
D.
Moshe Kasher
Moshe Kasher is an American stand-up comedian, writer, and actor known for his sharp, self-deprecating humor and work in both live comedy and television.
-
E.
Yair Tzaban
Yair Tzaban is an Israeli politician and social activist known for his leadership in the left-wing Mapam party and his advocacy for peace, civil rights, and social justice.
- 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: Nachman Shai Triple: [Nachman, hasNotableBearer, Nachman Shai]
Generated description
Nachman Shai is an Israeli journalist, former IDF spokesperson, and politician who has served as Israel’s Minister of Diaspora Affairs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nachman Shai Target entity description: Nachman Shai is an Israeli journalist, former IDF spokesperson, and politician who has served as Israel’s Minister of Diaspora Affairs.
-
A.
Alon Shvut
Alon Shvut is an Israeli settlement in the West Bank known for its religious Zionist community and proximity to Jerusalem.
-
B.
Itai Benjamini
Itai Benjamini is an Israeli mathematician known for his influential work in probability theory, particularly in percolation and random walks on graphs.
-
C.
Maor Kohn
Maor Kohn is a television creator best known for co-creating the Israeli espionage thriller series "Tehran."
-
D.
Moshe Kasher
Moshe Kasher is an American stand-up comedian, writer, and actor known for his sharp, self-deprecating humor and work in both live comedy and television.
-
E.
Yair Tzaban
Yair Tzaban is an Israeli politician and social activist known for his leadership in the left-wing Mapam party and his advocacy for peace, civil rights, and social justice.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c5929881908458d07bd33c5edd |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d4c441481909e4a179d1db0a30e |
completed | May 18, 2026, 3:16 p.m. |
| NEDg | Description generation | batch_6a0b3645f5a881908b322d16c7704e27 |
completed | May 18, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b3769c36081909ff732275513bb2b |
completed | May 18, 2026, 3:59 p.m. |
Created at: April 16, 2026, 8:23 p.m.