Triple
T2908104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Loeffler |
E63614
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Loeffler
Loeffler is a German-origin surname borne by various notable individuals in fields such as sports, politics, and the arts.
|
E309437
|
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: Loeffler | Statement: [Ken Loeffler, familyName, Loeffler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loeffler Context triple: [Ken Loeffler, familyName, Loeffler]
-
A.
Krieblowitz
Krieblowitz was a village in Silesia (now Krobielowice, Poland) historically notable as the estate and place of death of Prussian field marshal Gebhard Leberecht von Blücher.
-
B.
Ehrlich
Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
-
C.
Loferl
Loferl are traditional Bavarian calf-warmers or split socks typically worn with Lederhosen as part of Alpine folk costume.
-
D.
Hölldobler
Hölldobler is a German surname most notably associated with Bert Hölldobler, a prominent behavioral ecologist and myrmecologist known for his research on ants.
-
E.
Finklea
Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
- 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: Loeffler Triple: [Ken Loeffler, familyName, Loeffler]
Generated description
Loeffler is a German-origin surname borne by various notable individuals in fields such as sports, politics, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Loeffler Target entity description: Loeffler is a German-origin surname borne by various notable individuals in fields such as sports, politics, and the arts.
-
A.
Krieblowitz
Krieblowitz was a village in Silesia (now Krobielowice, Poland) historically notable as the estate and place of death of Prussian field marshal Gebhard Leberecht von Blücher.
-
B.
Ehrlich
Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
-
C.
Loferl
Loferl are traditional Bavarian calf-warmers or split socks typically worn with Lederhosen as part of Alpine folk costume.
-
D.
Hölldobler
Hölldobler is a German surname most notably associated with Bert Hölldobler, a prominent behavioral ecologist and myrmecologist known for his research on ants.
-
E.
Finklea
Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0d1dcf881909b3ae58d7cdfd9cd |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b056173a988190be02619d909cdb25 |
completed | March 10, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69b05f640afc8190bf9b5b90ff7c9b0e |
completed | March 10, 2026, 6:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b06010c1948190a2e13084a79b106b |
completed | March 10, 2026, 6:16 p.m. |
Created at: March 6, 2026, 10:11 p.m.