Triple
T2346851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fletcher |
E45150
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Fleischer |
E179565
|
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: Fleischer | Statement: [Fletcher, hasVariant, Fleischer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fleischer Context triple: [Fletcher, hasVariant, Fleischer]
-
A.
Fleischer
chosen
Fleischer is a surname of German origin borne by various notable individuals across different fields.
-
B.
Happy Felsch
Happy Felsch was an American Major League Baseball outfielder best known as one of the Chicago White Sox players banned for his role in the 1919 Black Sox Scandal.
-
C.
Charles Fleischer
Charles Fleischer is an American actor and comedian best known as the voice of Roger Rabbit and several other characters in the film "Who Framed Roger Rabbit."
-
D.
Fred F. Finklehoffe
Fred F. Finklehoffe was an American screenwriter and producer best known for his work on classic Hollywood films and collaborations with major studios during the 1940s.
-
E.
Geschke
Geschke is a German-origin surname most notably associated with Charles Geschke, the co-founder of Adobe Systems.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6c9396081908abb2b0a229bb046 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9629f4908190ba3c51b7d12be4e4 |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:52 p.m.