Triple
T16514063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelly Loeffler |
E401135
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Loeffler |
E309437
|
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: Loeffler | Statement: [Kelly Loeffler, familyName, Loeffler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loeffler Context triple: [Kelly Loeffler, familyName, Loeffler]
-
A.
Loeffler
chosen
Loeffler is a German-origin surname borne by various notable individuals in fields such as sports, politics, and the arts.
-
B.
Läuffer
Läuffer is a central character in Jakob Michael Reinhold Lenz’s Sturm und Drang play "Der Hofmeister," embodying the psychological and social conflicts of an impoverished private tutor in 18th-century German society.
-
C.
Lobenstein
Lobenstein is a historic town in present-day Thuringia, Germany, known for having served as the capital of one of the former Reuss principalities.
-
D.
Marloffstein
Marloffstein is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its rural character and proximity to the city of Erlangen.
-
E.
Leyhof
Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7a5ff88190984e2f2bc2fd17cc |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0060827d988190b2c0c075a49dfde8 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.