Triple
T8839236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph |
E210344
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object | Ralf |
E305974
|
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: Ralf | Statement: [Ralph, hasShortForm, Ralf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralf Context triple: [Ralph, hasShortForm, Ralf]
-
A.
Ralf
chosen
Ralf is a masculine given name of German origin commonly used in German-speaking and Scandinavian countries.
-
B.
Rolf
Rolf is a masculine given name of Germanic origin commonly used in German-speaking and Scandinavian countries.
-
C.
Rudi
Rudi is a common diminutive form of the given name Rudolf, used in various European languages.
-
D.
Rudi
Rudi is the official mascot of the Cleveland Gladiators arena football team, known for energizing fans at games and team events.
-
E.
Ralf Burger
Ralf Burger is a German computer enthusiast and author known for his influential writings on computer viruses and low-level programming in the late 1980s and early 1990s.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60849f8c8190b7735defecf55a5d |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba0934288190bc22dfee0a13124e |
completed | April 3, 2026, 1 p.m. |
Created at: March 30, 2026, 6:48 p.m.