Triple
T2391839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yitzhak Shamir |
E48960
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Shamir
Shamir is a Hebrew surname most prominently associated with Yitzhak Shamir, a former Prime Minister of Israel.
|
E263051
|
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: Shamir | Statement: [Yitzhak Shamir, familyName, Shamir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shamir Context triple: [Yitzhak Shamir, familyName, Shamir]
-
A.
Rabin
Rabin is a surname most prominently associated with Yitzhak Rabin, the Israeli military leader, statesman, and Nobel Peace Prize–winning prime minister.
-
B.
Merkle
Merkle is a surname most prominently associated with Ralph Merkle, a pioneering computer scientist and cryptographer known for his foundational work in public-key cryptography and Merkle trees.
-
C.
Adi Shamir
Adi Shamir is an Israeli cryptographer best known as one of the co-inventors of the RSA public-key cryptosystem and a foundational figure in modern cryptography.
-
D.
Wiesner
Wiesner is a German-origin surname borne by various notable individuals across fields such as science, politics, and the arts.
-
E.
Shor
Shor is a Turkic language spoken primarily by the Shor people in southwestern Siberia, Russia.
- 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: Shamir Triple: [Yitzhak Shamir, familyName, Shamir]
Generated description
Shamir is a Hebrew surname most prominently associated with Yitzhak Shamir, a former Prime Minister of Israel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shamir Target entity description: Shamir is a Hebrew surname most prominently associated with Yitzhak Shamir, a former Prime Minister of Israel.
-
A.
Rabin
Rabin is a surname most prominently associated with Yitzhak Rabin, the Israeli military leader, statesman, and Nobel Peace Prize–winning prime minister.
-
B.
Merkle
Merkle is a surname most prominently associated with Ralph Merkle, a pioneering computer scientist and cryptographer known for his foundational work in public-key cryptography and Merkle trees.
-
C.
Adi Shamir
Adi Shamir is an Israeli cryptographer best known as one of the co-inventors of the RSA public-key cryptosystem and a foundational figure in modern cryptography.
-
D.
Wiesner
Wiesner is a German-origin surname borne by various notable individuals across fields such as science, politics, and the arts.
-
E.
Shor
Shor is a Turkic language spoken primarily by the Shor people in southwestern Siberia, Russia.
- 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc87587708190a7f2bc473a898bc2 |
completed | March 7, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3d7b4908190a87dd33316d2d725 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb4b83ec48190b2852daef0767ac8 |
completed | March 9, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb57f0e90819093b096955f9cc2b5 |
completed | March 9, 2026, 11:56 a.m. |
Created at: March 4, 2026, 7:57 p.m.