Triple
T437304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svante Pääbo |
E10037
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Svante Pääbo |
E10037
|
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: Svante Pääbo | Statement: [Svante Pääbo, name, Svante Pääbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svante Pääbo Context triple: [Svante Pääbo, name, Svante Pääbo]
-
A.
Svante Pääbo
chosen
Svante Pääbo is a Swedish geneticist renowned as a founder of paleogenomics, best known for sequencing the Neanderthal genome and advancing the study of human evolution.
-
B.
Francis Collins
Francis Collins is an American physician-geneticist best known for leading the Human Genome Project and serving as director of the U.S. National Institutes of Health.
-
C.
George Church
George Church was a stage actor known for his role in the original Broadway production of the musical "Oklahoma!".
-
D.
Ian Darwin
Ian Darwin is a software developer and author best known for his contributions to Unix, Java, and open source programming resources.
-
E.
Phillip A. Sharp
Phillip A. Sharp is an American molecular biologist and Nobel laureate renowned for his discovery of RNA splicing and his long-standing research and leadership at MIT.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef26bb78819089b3b5dac0330619 |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4366d2ec881908d8c0b28e4ca55fc |
completed | March 1, 2026, 12:51 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.