Triple

T7522032
Position Surface form Disambiguated ID Type / Status
Subject Isabel Sanford E177793 entity
Predicate familyName P18 FINISHED
Object Sanford
Sanford is a surname most notably associated with American actress Isabel Sanford, famed for her role as Louise "Weezy" Jefferson on the sitcom The Jeffersons.
E670617 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: Sanford | Statement: [Isabel Sanford, familyName, Sanford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanford
Context triple: [Isabel Sanford, familyName, Sanford]
  • A. Sanford
    Sanford is the given first name of legendary American Major League Baseball pitcher Sandy Koufax.
  • B. Sanford
    Sanford is a major American manufacturer of writing instruments, best known as the parent company behind brands like Sharpie and Paper Mate.
  • C. Sanford
    Sanford is a small rural town located in Conejos County in southern Colorado, known for its agricultural surroundings and close-knit community.
  • D. Sanford
    Sanford is a city in central North Carolina that serves as a regional hub for education, industry, and commerce.
  • E. Sanford, Florida
    Sanford, Florida is a historic city in central Florida on the southern shore of Lake Monroe, known as a transportation hub and gateway to the Orlando metropolitan area.
  • 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: Sanford
Triple: [Isabel Sanford, familyName, Sanford]
Generated description
Sanford is a surname most notably associated with American actress Isabel Sanford, famed for her role as Louise "Weezy" Jefferson on the sitcom The Jeffersons.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sanford
Target entity description: Sanford is a surname most notably associated with American actress Isabel Sanford, famed for her role as Louise "Weezy" Jefferson on the sitcom The Jeffersons.
  • A. Sanford
    Sanford is the given first name of legendary American Major League Baseball pitcher Sandy Koufax.
  • B. Sanford
    Sanford is a major American manufacturer of writing instruments, best known as the parent company behind brands like Sharpie and Paper Mate.
  • C. Sanford
    Sanford is a small rural town located in Conejos County in southern Colorado, known for its agricultural surroundings and close-knit community.
  • D. Sanford
    Sanford is a city in central North Carolina that serves as a regional hub for education, industry, and commerce.
  • E. Sanford, Florida
    Sanford, Florida is a historic city in central Florida on the southern shore of Lake Monroe, known as a transportation hub and gateway to the Orlando metropolitan area.
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c3c4c08190ad418978afcc98ec completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8462d743481909a3cfb6d31d94d98 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c84765ee64819082d3189c8a768455 completed March 28, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_69c84828b2c48190a70f3bcd9e7554cc completed March 28, 2026, 9:29 p.m.
Created at: March 27, 2026, 3:46 p.m.