Triple
T12780722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaron Ciechanover |
E305499
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ciechanover
Ciechanover is the surname of Aaron Ciechanover, an Israeli biochemist and Nobel Prize laureate recognized for his work on protein degradation.
|
E1003441
|
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: Ciechanover | Statement: [Aaron Ciechanover, familyName, Ciechanover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ciechanover Context triple: [Aaron Ciechanover, familyName, Ciechanover]
-
A.
Turośl
Turośl is a village in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and forests.
-
B.
Lipnica Wielka
Lipnica Wielka is a village in southern Poland, located near the Slovak border in the Lesser Poland Voivodeship.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Kresowa
Kresowa is the nickname of the Polish 5th Kresowa Infantry Division, a World War II unit of the Polish Armed Forces in the West composed largely of soldiers from the eastern borderlands (Kresy).
-
E.
Sianów
Sianów is a small town in northwestern Poland known for its historical ties to the Pomerania region and its location near the Baltic coast.
- 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: Ciechanover Triple: [Aaron Ciechanover, familyName, Ciechanover]
Generated description
Ciechanover is the surname of Aaron Ciechanover, an Israeli biochemist and Nobel Prize laureate recognized for his work on protein degradation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ciechanover Target entity description: Ciechanover is the surname of Aaron Ciechanover, an Israeli biochemist and Nobel Prize laureate recognized for his work on protein degradation.
-
A.
Turośl
Turośl is a village in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and forests.
-
B.
Lipnica Wielka
Lipnica Wielka is a village in southern Poland, located near the Slovak border in the Lesser Poland Voivodeship.
-
C.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
-
D.
Kresowa
Kresowa is the nickname of the Polish 5th Kresowa Infantry Division, a World War II unit of the Polish Armed Forces in the West composed largely of soldiers from the eastern borderlands (Kresy).
-
E.
Sianów
Sianów is a small town in northwestern Poland known for its historical ties to the Pomerania region and its location near the Baltic coast.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e5a5680819095dcd491486d23e7 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f685030cbc8190856bf5254e231d25 |
completed | May 2, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_69f685dc63f48190bb68f9859e99e3b4 |
completed | May 2, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f68a92226881909600555332c2c370 |
completed | May 2, 2026, 11:36 p.m. |
Created at: April 9, 2026, 5:29 p.m.