Triple

T4728874
Position Surface form Disambiguated ID Type / Status
Subject City of Anderson E104953 entity
Predicate namedAfter P63 FINISHED
Object Elias Anderson
Elias Anderson was the individual after whom the city of Anderson, likely a notable local founder or early settler, was named.
 E466092 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: Elias Anderson | Statement: [City of Anderson, namedAfter, Elias Anderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elias Anderson
Context triple: [City of Anderson, namedAfter, Elias Anderson]
  • A. Samuel Anderson
    Samuel Anderson is a British actor best known for his work in television and theatre, including notable roles in series like "Doctor Who" and "Emmerdale."
  • B. Abraham Anderson
    Abraham Anderson was an American businessman best known as a co-founder of the Campbell Soup Company.
  • C. Elias Conway
    Elias Conway was an American politician who served as the fifth governor of Arkansas in the mid-19th century.
  • D. Samuel Ellis
    Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
  • E. Elias Glenn
    Elias Glenn was an American jurist who served as a U.S. federal judge in Maryland in the early 19th century.
  • 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: Elias Anderson
Triple: [City of Anderson, namedAfter, Elias Anderson]
Generated description
Elias Anderson was the individual after whom the city of Anderson, likely a notable local founder or early settler, was named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elias Anderson
Target entity description: Elias Anderson was the individual after whom the city of Anderson, likely a notable local founder or early settler, was named.
  • A. Samuel Anderson
    Samuel Anderson is a British actor best known for his work in television and theatre, including notable roles in series like "Doctor Who" and "Emmerdale."
  • B. Abraham Anderson
    Abraham Anderson was an American businessman best known as a co-founder of the Campbell Soup Company.
  • C. Elias Conway
    Elias Conway was an American politician who served as the fifth governor of Arkansas in the mid-19th century.
  • D. Samuel Ellis
    Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
  • E. Elias Glenn
    Elias Glenn was an American jurist who served as a U.S. federal judge in Maryland in the early 19th century.
  • 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_69bd43ed84648190ae0b7ee8e8d00482 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd644a0ef88190a46230446dfff635 completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a0739a88190aefc952d9d9b39e2 completed March 21, 2026, 6:26 a.m.
NEDg Description generation batch_69be3bee50708190938feae0a3ddeb48 completed March 21, 2026, 6:34 a.m.
NED2 Entity disambiguation (via description) batch_69be3cd64d0c8190b007e9f027185225 completed March 21, 2026, 6:38 a.m.
Created at: March 20, 2026, 1:19 p.m.