Triple

T16634776
Position Surface form Disambiguated ID Type / Status
Subject Hiram Berdan E404170 entity
Predicate familyName P18 FINISHED
Object Berdan
Berdan is a surname most notably associated with Hiram Berdan, a 19th-century American military officer, engineer, and inventor known for pioneering sharpshooter units during the Civil War.
 E1224152 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: Berdan | Statement: [Hiram Berdan, familyName, Berdan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berdan
Context triple: [Hiram Berdan, familyName, Berdan]
  • A. Bordizzo
    Bordizzo is the surname of Australian actress and model Natasha Liu Bordizzo, known for her roles in film and television including the Star Wars series "Ahsoka."
  • B. Geltow
    Geltow is a village in the German state of Brandenburg, known as a district of the municipality Schwielowsee near Potsdam.
  • C. Dergano
    Dergano is a metro station in Milan, Italy, serving the Dergano district on the city’s underground network.
  • D. Badaguan
    Badaguan is a scenic coastal area in Qingdao famous for its tree-lined streets, historic European-style villas, and popular seaside promenades.
  • E. Dambatta
    Dambatta is a prominent town and local government area in northern Nigeria, situated within Kano State and known for its role in regional commerce and agriculture.
  • 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: Berdan
Triple: [Hiram Berdan, familyName, Berdan]
Generated description
Berdan is a surname most notably associated with Hiram Berdan, a 19th-century American military officer, engineer, and inventor known for pioneering sharpshooter units during the Civil War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berdan
Target entity description: Berdan is a surname most notably associated with Hiram Berdan, a 19th-century American military officer, engineer, and inventor known for pioneering sharpshooter units during the Civil War.
  • A. Bordizzo
    Bordizzo is the surname of Australian actress and model Natasha Liu Bordizzo, known for her roles in film and television including the Star Wars series "Ahsoka."
  • B. Geltow
    Geltow is a village in the German state of Brandenburg, known as a district of the municipality Schwielowsee near Potsdam.
  • C. Dergano
    Dergano is a metro station in Milan, Italy, serving the Dergano district on the city’s underground network.
  • D. Badaguan
    Badaguan is a scenic coastal area in Qingdao famous for its tree-lined streets, historic European-style villas, and popular seaside promenades.
  • E. Dambatta
    Dambatta is a prominent town and local government area in northern Nigeria, situated within Kano State and known for its role in regional commerce and agriculture.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e8a76c8190bf08e6f6dec63c50 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc05bd881909c6b2e0d95622aa1 completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a007e1909b88190ad2587b5d5433e2e completed May 10, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_6a007eda229c8190a6b99400141cf0b6 completed May 10, 2026, 12:49 p.m.
Created at: April 10, 2026, 5:17 a.m.