Triple
T4836755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor L. Berger |
E108077
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Berger
Berger is a common German-origin surname borne by numerous notable individuals across politics, arts, sports, and academia.
|
E475344
|
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: Berger | Statement: [Victor L. Berger, familyName, Berger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berger Context triple: [Victor L. Berger, familyName, Berger]
-
A.
Bouvier
Bouvier is the maiden surname of Jacqueline Kennedy Onassis, associated with a prominent American socialite and political family.
-
B.
Merle
Merle is a given name most famously associated with American country music legend Merle Haggard.
-
C.
St Bernard
The St Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
-
D.
Landseer
Landseer is the middle name of renowned British architect Sir Edwin Lutyens, best known for his influential country houses and war memorial designs.
-
E.
Bernie the Saint Bernard
Bernie the Saint Bernard is the costumed canine mascot who represents Siena College at its athletic events and campus activities.
- 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: Berger Triple: [Victor L. Berger, familyName, Berger]
Generated description
Berger is a common German-origin surname borne by numerous notable individuals across politics, arts, sports, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berger Target entity description: Berger is a common German-origin surname borne by numerous notable individuals across politics, arts, sports, and academia.
-
A.
Bouvier
Bouvier is the maiden surname of Jacqueline Kennedy Onassis, associated with a prominent American socialite and political family.
-
B.
Merle
Merle is a given name most famously associated with American country music legend Merle Haggard.
-
C.
St Bernard
The St Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
-
D.
Landseer
Landseer is the middle name of renowned British architect Sir Edwin Lutyens, best known for his influential country houses and war memorial designs.
-
E.
Bernie the Saint Bernard
Bernie the Saint Bernard is the costumed canine mascot who represents Siena College at its athletic events and campus activities.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ce193488190a618250a5681f3ff |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cc054ac819099d6d3dbf415e710 |
completed | March 21, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69be60d4fa0c8190b6d197eb3dbafff7 |
completed | March 21, 2026, 9:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be61789d388190bc23d7f44cee2e5d |
completed | March 21, 2026, 9:14 a.m. |
Created at: March 20, 2026, 1:25 p.m.