Triple
T3189404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friedrich |
E66781
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Fritz |
unclear NED1
|
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: [Friedrich, hasShortForm, Fritz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fritz Context triple: [Friedrich, hasShortForm, Fritz]
-
A.
Fritz
Fritz is an individual known primarily as the offspring of Fifi.
-
B.
Fritz
Fritz is the hunchbacked assistant to Dr. Frankenstein in the 1931 horror film "Frankenstein," known for helping to procure the monster’s body parts and brain.
-
C.
The Old Fritz
The Old Fritz is a familiar English nickname for Frederick II of Prussia, better known as Frederick the Great, the 18th-century Prussian king and military leader.
-
D.
Fischer
Fischer is a common German surname borne by numerous notable individuals across fields such as politics, science, sports, and the arts.
-
E.
Lasker
Lasker is a surname most famously associated with figures such as Emanuel Lasker, the long-reigning World Chess Champion, and Albert Lasker, a pioneering American advertising executive.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6e67e948190afbd9cc6a3ade415 |
completed | March 8, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b9a9bc88190b7090bda8fe6260c |
completed | March 12, 2026, 5:14 a.m. |
Created at: March 8, 2026, 3:06 p.m.