Triple

T20943612
Position Surface form Disambiguated ID Type / Status
Subject Osteen E515785 entity
Predicate nearestCity P350 FINISHED
Object Sanford NE NERFINISHED

How this triple was built (2 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: [Osteen, nearestCity, Sanford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanford
Context triple: [Osteen, nearestCity, Sanford]
  • A. Sanford
    Sanford is a major American manufacturer of writing instruments, best known as the parent company behind brands like Sharpie and Paper Mate.
  • B. Sanford
    Sanford is a small rural town located in Conejos County in southern Colorado, known for its agricultural surroundings and close-knit community.
  • C. Sanford chosen
    Sanford is a city in central North Carolina that serves as a regional hub for education, industry, and commerce.
  • D. 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.
  • E. Sanford
    Sanford is an American television sitcom that served as a continuation of the classic series "Sanford and Son," featuring Redd Foxx reprising his role as Fred Sanford.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f95838708190978dfa8bc786fb22 completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:50 p.m.