Triple
T2329346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fritz Zwicky |
E48364
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Fritz |
E169605
|
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: Fritz | Statement: [Fritz Zwicky, givenName, Fritz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fritz Context triple: [Fritz Zwicky, givenName, Fritz]
-
A.
Fritz
chosen
Fritz is an individual known primarily as the offspring of Fifi.
-
B.
Fischer
Fischer is a common German surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
-
C.
Fiez
Fiez is a small municipality in the canton of Vaud in western Switzerland, situated in the Jura-Nord vaudois district.
-
D.
Anderssen
Anderssen is a surname of likely Scandinavian or German origin, used as a variant of the more common name Anderson.
-
E.
Schaeffer
Schaeffer is a surname most prominently associated with Francis Schaeffer, a 20th-century American evangelical theologian, philosopher, and Presbyterian pastor known for his influential writings on Christianity and culture.
- 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.