Triple

T7891311
Position Surface form Disambiguated ID Type / Status
Subject Daniel Sickles E183240 entity
Predicate familyName P18 FINISHED
Object Sickles
Sickles is a surname most notably associated with Daniel Sickles, a controversial 19th-century American politician, Civil War general, and diplomat.
 E696451 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: Sickles | Statement: [Daniel Sickles, familyName, Sickles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sickles
Context triple: [Daniel Sickles, familyName, Sickles]
  • A. Tin Lizzie
    Tin Lizzie is the popular nickname for the Ford Model T, the early 20th-century automobile that revolutionized mass car production and personal transportation.
  • B. Easton Stick
    Easton Stick is an American football quarterback who starred at North Dakota State University before playing in the NFL.
  • C. Sledge
    Sledge is the surname of American rapper and songwriter Dreezy, whose full name is Seandrea Sledge.
  • D. Hunte
    The Hunte is a river in northwestern Germany that flows through Lower Saxony before joining the Weser.
  • E. Satchel
    Satchel was the famous nickname of legendary American baseball pitcher Leroy "Satchel" Paige, renowned for his extraordinary skill and longevity in the game.
  • 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: Sickles
Triple: [Daniel Sickles, familyName, Sickles]
Generated description
Sickles is a surname most notably associated with Daniel Sickles, a controversial 19th-century American politician, Civil War general, and diplomat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sickles
Target entity description: Sickles is a surname most notably associated with Daniel Sickles, a controversial 19th-century American politician, Civil War general, and diplomat.
  • A. Tin Lizzie
    Tin Lizzie is the popular nickname for the Ford Model T, the early 20th-century automobile that revolutionized mass car production and personal transportation.
  • B. Easton Stick
    Easton Stick is an American football quarterback who starred at North Dakota State University before playing in the NFL.
  • C. Sledge
    Sledge is the surname of American rapper and songwriter Dreezy, whose full name is Seandrea Sledge.
  • D. Hunte
    The Hunte is a river in northwestern Germany that flows through Lower Saxony before joining the Weser.
  • E. Satchel
    Satchel was the famous nickname of legendary American baseball pitcher Leroy "Satchel" Paige, renowned for his extraordinary skill and longevity in the game.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39ee137081908e87e35016c3a176 completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5ba51ee48190b654a931da2c049f completed March 31, 2026, 5:29 a.m.
NEDg Description generation batch_69cb5f1e84fc8190b535016cb69405b4 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb769944d08190ba8c2f5fe76e037b completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5 p.m.