Triple

T5787663
Position Surface form Disambiguated ID Type / Status
Subject Lena Horne E128308 entity
Predicate familyName P18 FINISHED
Object Horne
Horne is a surname most famously associated with Lena Horne, the pioneering African American singer, actress, and civil rights activist.
 E549274 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: Horne | Statement: [Lena Horne, familyName, Horne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Horne
Context triple: [Lena Horne, familyName, Horne]
  • A. Horne
    Horne is a small rural village and civil parish in the Tandridge district of Surrey, England.
  • B. Hawkley
    Hawkley is a small rural village and civil parish in East Hampshire, England, known for its scenic countryside and traditional English character.
  • C. Hansell
    Hansell is a surname most notably associated with Haywood S. Hansell, a U.S. Army Air Forces general and early advocate of strategic precision bombing during World War II.
  • D. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • E. Hunte
    The Hunte is a river in northwestern Germany that flows through Lower Saxony before joining the Weser.
  • 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: Horne
Triple: [Lena Horne, familyName, Horne]
Generated description
Horne is a surname most famously associated with Lena Horne, the pioneering African American singer, actress, and civil rights activist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Horne
Target entity description: Horne is a surname most famously associated with Lena Horne, the pioneering African American singer, actress, and civil rights activist.
  • A. Horne
    Horne is a small rural village and civil parish in the Tandridge district of Surrey, England.
  • B. Hawkley
    Hawkley is a small rural village and civil parish in East Hampshire, England, known for its scenic countryside and traditional English character.
  • C. Hansell
    Hansell is a surname most notably associated with Haywood S. Hansell, a U.S. Army Air Forces general and early advocate of strategic precision bombing during World War II.
  • D. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • E. Hunte
    The Hunte is a river in northwestern Germany that flows through Lower Saxony before joining the Weser.
  • 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a5297c88190bd28adb2552a26f4 completed March 22, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0981a002c8190ac8ed7407a80919c completed March 23, 2026, 1:32 a.m.
NEDg Description generation batch_69c0989f7e58819098175e6eaacdb9ee completed March 23, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69c09cf3220481908c52b519e8495fff completed March 23, 2026, 1:52 a.m.
Created at: March 22, 2026, 3:51 p.m.