Triple
T1420594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexis Carrel |
E30215
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Alexis Carrel |
E30215
|
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: Alexis Carrel | Statement: [Alexis Carrel, fullName, Alexis Carrel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexis Carrel Context triple: [Alexis Carrel, fullName, Alexis Carrel]
-
A.
Alexis Carrel
chosen
Alexis Carrel was a French surgeon and biologist, Nobel Prize laureate in Physiology or Medicine, known for his pioneering work in vascular suturing and organ transplantation.
-
B.
Jean-Antoine Carrel
Jean-Antoine Carrel was a 19th-century Italian mountain guide and climber renowned for his pioneering ascents in the Alps and Andes.
-
C.
Emil Theodor Kocher
Emil Theodor Kocher was a Swiss surgeon and Nobel laureate renowned for his pioneering work in thyroid surgery and surgical techniques.
-
D.
Charles Richet
Charles Richet was a French physiologist and Nobel laureate best known for his pioneering work on anaphylaxis and allergic reactions.
-
E.
Paul Ehrlich
Paul Ehrlich was a pioneering German physician and scientist renowned for his work in immunology, hematology, and chemotherapy, and as a Nobel Prize laureate in Physiology or Medicine.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c40764ec8190b85de6befcb20dda |
completed | March 1, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08b09c948190a5ec17021299049e |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 7:59 p.m.