Triple

T7659601
Position Surface form Disambiguated ID Type / Status
Subject Aunt Esther Anderson E173469 entity
Predicate appearsIn P795 FINISHED
Object Sanford
Sanford is a classic American television sitcom best known for its sharp-tongued humor and portrayal of a cantankerous junk dealer and his family in Los Angeles.
 E684105 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: [Aunt Esther Anderson, appearsIn, Sanford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sanford
Context triple: [Aunt Esther Anderson, appearsIn, 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
    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.
  • 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: [Aunt Esther Anderson, appearsIn, Sanford]
Generated description
Sanford is a classic American television sitcom best known for its sharp-tongued humor and portrayal of a cantankerous junk dealer and his family in Los Angeles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sanford
Target entity description: Sanford is a classic American television sitcom best known for its sharp-tongued humor and portrayal of a cantankerous junk dealer and his family in Los Angeles.
  • 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
    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.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701a32f588190a7a923e8ce43f727 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4f716a48190a0ca52caffc2c1c1 completed March 29, 2026, 5:13 a.m.
NEDg Description generation batch_69c8b6811b1881909a835ab4c3eefbf7 completed March 29, 2026, 5:20 a.m.
NED2 Entity disambiguation (via description) batch_69c8b6dcca508190b031eaea6b73b35e completed March 29, 2026, 5:21 a.m.
Created at: March 27, 2026, 3:59 p.m.