Triple

T9094739
Position Surface form Disambiguated ID Type / Status
Subject Sandersville, Georgia E217986 entity
Predicate namedAfter P63 FINISHED
Object John Sanders
John Sanders was an individual significant enough in local history that the city of Sandersville, Georgia, was named in his honor.
 E778309 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: John Sanders | Statement: [Sandersville, Georgia, namedAfter, John Sanders]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Sanders
Context triple: [Sandersville, Georgia, namedAfter, John Sanders]
  • A. Will Sutton
    Will Sutton is an American football defensive tackle known for his standout college career at Arizona State University and subsequent play in the NFL.
  • B. John Sutton
    John Sutton was a British-born actor active in Hollywood during the 1930s–1950s, known for his roles in historical and adventure films.
  • C. Teddy Sanders
    Teddy Sanders is the cautious yet politically minded NASA Administrator in Andy Weir’s science fiction novel (and its film adaptation) "The Martian."
  • D. Teddy Sanders
    Teddy Sanders is a fictional character from the comedy film "Neighbors," portrayed as the charismatic yet rowdy fraternity leader who clashes with his new neighbors.
  • E. David Sanders
    David Sanders is the protagonist of the thriller novel "The Deep," around whom the story’s central mystery and underwater adventure revolve.
  • 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: John Sanders
Triple: [Sandersville, Georgia, namedAfter, John Sanders]
Generated description
John Sanders was an individual significant enough in local history that the city of Sandersville, Georgia, was named in his honor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Sanders
Target entity description: John Sanders was an individual significant enough in local history that the city of Sandersville, Georgia, was named in his honor.
  • A. Will Sutton
    Will Sutton is an American football defensive tackle known for his standout college career at Arizona State University and subsequent play in the NFL.
  • B. John Sutton
    John Sutton was a British-born actor active in Hollywood during the 1930s–1950s, known for his roles in historical and adventure films.
  • C. Teddy Sanders
    Teddy Sanders is the cautious yet politically minded NASA Administrator in Andy Weir’s science fiction novel (and its film adaptation) "The Martian."
  • D. Teddy Sanders
    Teddy Sanders is a fictional character from the comedy film "Neighbors," portrayed as the charismatic yet rowdy fraternity leader who clashes with his new neighbors.
  • E. David Sanders
    David Sanders is the protagonist of the thriller novel "The Deep," around whom the story’s central mystery and underwater adventure revolve.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b4a2e0819092f4eae8b1d21f33 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01803b0288190a86b544892d4b6ed completed April 3, 2026, 7:41 p.m.
NEDg Description generation batch_69d01c0f1f8c8190a7988a040a421e34 completed April 3, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69d01c730b848190acbaf60f3a9d62bd completed April 3, 2026, 8 p.m.
Created at: March 30, 2026, 7:14 p.m.