Triple
T20648234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhonda Faehn |
E507414
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Faehn
Faehn is a surname most notably associated with Rhonda Faehn, an American former elite gymnast and influential gymnastics coach and administrator.
|
E1443013
|
NE FINISHED |
How this triple was built (4 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: Faehn | Statement: [Rhonda Faehn, familyName, Faehn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faehn Context triple: [Rhonda Faehn, familyName, Faehn]
-
A.
Langfuhr
Langfuhr is a Canadian-bred Thoroughbred racehorse and successful sire known for his multiple Grade I sprint victories in the United States.
-
B.
Fügen
Fügen is a popular Tyrolean village in western Austria known as a gateway to the Zillertal valley and its ski and alpine tourism.
-
C.
Fahrenkopf
Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
-
D.
Hünfeld
Hünfeld is a small town in the state of Hesse in central Germany, known in part for its association with computing pioneer Konrad Zuse.
-
E.
Fuhlenbrock
Fuhlenbrock is a residential district of the city of Bottrop in North Rhine-Westphalia, Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Faehn Triple: [Rhonda Faehn, familyName, Faehn]
Generated description
Faehn is a surname most notably associated with Rhonda Faehn, an American former elite gymnast and influential gymnastics coach and administrator.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faehn Target entity description: Faehn is a surname most notably associated with Rhonda Faehn, an American former elite gymnast and influential gymnastics coach and administrator.
-
A.
Langfuhr
Langfuhr is a Canadian-bred Thoroughbred racehorse and successful sire known for his multiple Grade I sprint victories in the United States.
-
B.
Fügen
Fügen is a popular Tyrolean village in western Austria known as a gateway to the Zillertal valley and its ski and alpine tourism.
-
C.
Fahrenkopf
Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
-
D.
Hünfeld
Hünfeld is a small town in the state of Hesse in central Germany, known in part for its association with computing pioneer Konrad Zuse.
-
E.
Fuhlenbrock
Fuhlenbrock is a residential district of the city of Bottrop in North Rhine-Westphalia, Germany.
- F. None of above. chosen
Provenance (5 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1fbfa881908a5b9db143e362d0 |
completed | April 20, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c59142648190a5100ba4477dc83d |
completed | May 16, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_6a08c6877618819096a3621c19bfc9f2 |
completed | May 16, 2026, 7:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c70c109c8190b4b38ea86f963f38 |
completed | May 16, 2026, 7:35 p.m. |
Created at: April 16, 2026, 11:43 a.m.