Triple
T6627116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stark |
E149830
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Johann Stark |
E109192
|
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: Johann Stark | Statement: [Stark, hasNotableBearer, Johann Stark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johann Stark Context triple: [Stark, hasNotableBearer, Johann Stark]
-
A.
Maximilian Emil Hehl
Maximilian Emil Hehl was a German-born architect known for his influential work in Brazil, most notably helping shape the neo-Gothic architectural landscape of São Paulo.
-
B.
Wilhelm Zaisser
Wilhelm Zaisser was a German communist politician and intelligence officer who became the first head of East Germany’s Ministry for State Security (Stasi) in the early 1950s.
-
C.
Johannes Stark
chosen
Johannes Stark was a German physicist and Nobel laureate known for discovering the Stark effect, the splitting of spectral lines in electric fields.
-
D.
Theodor Estermann
Theodor Estermann was a German-British mathematician known for his contributions to analytic number theory and his work on the distribution of prime numbers.
-
E.
Emil Wolf
Emil Wolf was a Czech-American physicist renowned for his pioneering contributions to physical optics and co-authoring the seminal textbook "Principles of Optics."
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa0feb0819099629c0fba590a05 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e44d356c8190ad4f2a617c3de4af |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:59 p.m.