Triple
T3556569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ada Yonath |
E75233
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Yonath |
E75233
|
NE FINISHED |
How this triple was built (2 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: Yonath | Statement: [Ada Yonath, familyName, Yonath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yonath Context triple: [Ada Yonath, familyName, Yonath]
-
A.
Ada Yonath
chosen
Ada Yonath is an Israeli crystallographer and Nobel Prize–winning chemist renowned for her pioneering work on the structure and function of the ribosome.
-
B.
Venki Ramakrishnan
Venki Ramakrishnan is a Nobel Prize–winning structural biologist renowned for his pioneering work on the structure and function of the ribosome.
-
C.
Thomas Steitz
Thomas Steitz was an American biochemist and Nobel laureate renowned for his pioneering structural studies of the ribosome.
-
D.
Aziz Sancar
Aziz Sancar is a Turkish-American biochemist and molecular biologist who won the 2015 Nobel Prize in Chemistry for his pioneering work on DNA repair mechanisms.
-
E.
Joan A. Steitz
Joan A. Steitz is an American molecular biologist renowned for her pioneering work on RNA biology and the discovery of small nuclear ribonucleoproteins (snRNPs) involved in RNA splicing.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc057cc788190a6c4f3781f43abce |
completed | March 8, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bf40dac8190837053dd315303af |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.