Triple
T14878370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Germann |
E349927
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Germann
Germann is a surname most notably associated with American actor Greg Germann, known for his roles in television and film.
|
E1125295
|
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: Germann | Statement: [Greg Germann, familyName, Germann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Germann Context triple: [Greg Germann, familyName, Germann]
-
A.
Germans
Germans are a Central European ethnic group primarily associated with Germany, characterized by the German language and a shared cultural and historical heritage.
-
B.
Saksa
Saksa is a prominent mountain in Norway’s Sunnmøre Alps, known for its steep ascent and panoramic views over the Hjørundfjord.
-
C.
Germán
Germán is a Spanish given name, commonly used in Spanish-speaking countries and derived from the same roots as the name Germain.
-
D.
German Kid
"German Kid" is a track from the album "Standing in the Spotlight," likely reflecting the record’s punk-influenced, offbeat musical style and themes.
-
E.
Francen
Francen is a surname most notably associated with Victor Francen, a Belgian-born actor prominent in early 20th-century European and American cinema.
- 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: Germann Triple: [Greg Germann, familyName, Germann]
Generated description
Germann is a surname most notably associated with American actor Greg Germann, known for his roles in television and film.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Germann Target entity description: Germann is a surname most notably associated with American actor Greg Germann, known for his roles in television and film.
-
A.
Germans
Germans are a Central European ethnic group primarily associated with Germany, characterized by the German language and a shared cultural and historical heritage.
-
B.
Saksa
Saksa is a prominent mountain in Norway’s Sunnmøre Alps, known for its steep ascent and panoramic views over the Hjørundfjord.
-
C.
Germán
Germán is a Spanish given name, commonly used in Spanish-speaking countries and derived from the same roots as the name Germain.
-
D.
German Kid
"German Kid" is a track from the album "Standing in the Spotlight," likely reflecting the record’s punk-influenced, offbeat musical style and themes.
-
E.
Francen
Francen is a surname most notably associated with Victor Francen, a Belgian-born actor prominent in early 20th-century European and American cinema.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e4e4448190a8796573bc6d1069 |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b5670108190b41ef95dc318be60 |
completed | May 8, 2026, 11:01 p.m. |
| NEDg | Description generation | batch_69fe6d3aa2f08190b02c6157c03a2ba5 |
completed | May 8, 2026, 11:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe6db30e9c81908fbad7b932799a7a |
completed | May 8, 2026, 11:11 p.m. |
Created at: April 10, 2026, 1:55 a.m.