Triple

T1962486
Position Surface form Disambiguated ID Type / Status
Subject Ladysmith E42617 entity
Predicate namedAfter P63 FINISHED
Object Lady Smith
Lady Smith was a British aristocrat after whom the South African town of Ladysmith was named.
 E218871 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: Lady Smith | Statement: [Ladysmith, namedAfter, Lady Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lady Smith
Context triple: [Ladysmith, namedAfter, Lady Smith]
  • A. Lady Mason
    Lady Mason is a central fictional character in Anthony Trollope’s novel "Orley Farm," known for her complex moral ambiguity and involvement in a long-standing legal dispute.
  • B. Celia
    Celia is the central character in the 1991 psychological drama film "Proof," around whom the story’s emotional and relational tensions revolve.
  • C. Eliza Smith
    Eliza Smith was the wife of renowned British neoclassical architect Sir John Soane.
  • D. Dolly Sharp
    Dolly Sharp was an American adult film actress best known for her role in the landmark 1972 pornographic film "Deep Throat."
  • E. Dolly Knox
    Dolly Knox is a person notable enough to be recognized as a prominent bearer of the surname Knox.
  • 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: Lady Smith
Triple: [Ladysmith, namedAfter, Lady Smith]
Generated description
Lady Smith was a British aristocrat after whom the South African town of Ladysmith was named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lady Smith
Target entity description: Lady Smith was a British aristocrat after whom the South African town of Ladysmith was named.
  • A. Lady Mason
    Lady Mason is a central fictional character in Anthony Trollope’s novel "Orley Farm," known for her complex moral ambiguity and involvement in a long-standing legal dispute.
  • B. Celia
    Celia is the central character in the 1991 psychological drama film "Proof," around whom the story’s emotional and relational tensions revolve.
  • C. Eliza Smith
    Eliza Smith was the wife of renowned British neoclassical architect Sir John Soane.
  • D. Dolly Sharp
    Dolly Sharp was an American adult film actress best known for her role in the landmark 1972 pornographic film "Deep Throat."
  • E. Dolly Knox
    Dolly Knox is a person notable enough to be recognized as a prominent bearer of the surname Knox.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3aae8c48190afae2cf3af2ae4e9 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd133908190add1c78d91a813ef completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6d7fb08190959ee247d0060f4c completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfd2f68f48190ad23db5ca6ae663a completed March 8, 2026, 10:50 p.m.
Created at: March 4, 2026, 7:36 p.m.