Triple
T2329347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fritz Zwicky |
E48364
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zwicky |
E48364
|
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: Zwicky | Statement: [Fritz Zwicky, familyName, Zwicky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zwicky Context triple: [Fritz Zwicky, familyName, Zwicky]
-
A.
Fritz Zwicky
chosen
Fritz Zwicky was a Swiss astronomer and physicist best known for pioneering work on dark matter, supernovae, and galaxy clusters, profoundly shaping modern astrophysics.
-
B.
Infeld
Infeld is the surname of Leopold Infeld, a notable Polish theoretical physicist who collaborated with Albert Einstein on the theory of relativity.
-
C.
Barnard
Barnard is a surname and given name of English and French origin, borne by various notable individuals and institutions.
-
D.
Bardeen
Bardeen is a surname most notably associated with John Bardeen, the American physicist who won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
-
E.
Udir
Udir is the commonly used abbreviation for the Norwegian Directorate for Education and Training, the national authority responsible for implementing and overseeing Norway’s education policy.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc667235c819086140af9db961203 |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8974ab8c81908ec2bddcc882cf42 |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:50 p.m.