Triple
T17814869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy Felsch |
E444810
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Felsch |
—
|
NE NERFINISHED |
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: Felsch | Statement: [Happy Felsch, familyName, Felsch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Felsch Context triple: [Happy Felsch, familyName, Felsch]
-
A.
Felsch
chosen
Felsch is a surname most notably associated with Happy Felsch, an early 20th-century American Major League Baseball outfielder involved in the 1919 Black Sox scandal.
-
B.
Landensberg
Landensberg is a small municipality in the Bavarian region of southern Germany.
-
C.
Ophasselt
Ophasselt is a village in the Flemish province of East Flanders, Belgium, known as one of the constituent communities of the city of Geraardsbergen.
-
D.
Ausserberg
Ausserberg is a small Swiss mountain village and municipality in the canton of Valais, known for its scenic alpine setting and traditional rural character.
-
E.
Gerlosbach
Gerlosbach is a mountain river in Tyrol, Austria, that flows through the Zillertal Alps before joining the Ziller.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887e80688190a2ac3308b0e815c6 |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.