Triple
T2453280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Grätzel |
E53756
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Grätzel |
E53756
|
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: Grätzel | Statement: [Michael Grätzel, familyName, Grätzel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grätzel Context triple: [Michael Grätzel, familyName, Grätzel]
-
A.
Michael Grätzel
chosen
Michael Grätzel is a Swiss chemist best known for inventing dye-sensitized solar cells, a breakthrough in low-cost, efficient solar energy technology.
-
B.
John B. Goodenough
John B. Goodenough was an American materials scientist and physicist renowned for his pioneering work on lithium-ion rechargeable batteries, which revolutionized portable electronics and energy storage.
-
C.
Akira Yoshino
Akira Yoshino is a Japanese chemist best known for pioneering the development of the modern lithium-ion rechargeable battery.
-
D.
Ojingeo Geim
Ojingeo Geim is the Korean title of the globally popular South Korean survival drama series "Squid Game."
-
E.
Phaedon Avouris
Phaedon Avouris is a Greek-American physicist and nanoscientist renowned for his pioneering research in carbon nanotubes, graphene, and nanoelectronics.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0f699308190910a41520dc9efdb |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17932530819097caefff366e2183 |
completed | March 9, 2026, 6:55 p.m. |
Created at: March 6, 2026, 9:43 p.m.