Triple

T19820832
Position Surface form Disambiguated ID Type / Status
Subject Macedonia Baptist Church E476187 entity
Predicate city P40 FINISHED
Object Maylene
Maylene is a small unincorporated community in Shelby County, Alabama, known for its residential character and local churches.
E1396961 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: Maylene | Statement: [Macedonia Baptist Church, city, Maylene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maylene
Context triple: [Macedonia Baptist Church, city, Maylene]
  • A. Maren
    Maren is a feminine given name of Scandinavian origin, commonly used in Norway and Denmark.
  • B. Anette
    Anette is a feminine given name, commonly used in various European countries and considered a variant of names like Annette or Annette-derived forms.
  • C. Lené
    Lené is a given name, typically a feminine variant used in various European and Afrikaans-speaking contexts.
  • D. Taina Elg
    Taina Elg is a Finnish-American actress and dancer best known for her work in mid-20th-century Hollywood musicals and on Broadway.
  • E. Millyea
    Millyea is a notable summit located within the Dungeon Hills range.
  • 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: Maylene
Triple: [Macedonia Baptist Church, city, Maylene]
Generated description
Maylene is a small unincorporated community in Shelby County, Alabama, known for its residential character and local churches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maylene
Target entity description: Maylene is a small unincorporated community in Shelby County, Alabama, known for its residential character and local churches.
  • A. Maren
    Maren is a feminine given name of Scandinavian origin, commonly used in Norway and Denmark.
  • B. Anette
    Anette is a feminine given name, commonly used in various European countries and considered a variant of names like Annette or Annette-derived forms.
  • C. Lené
    Lené is a given name, typically a feminine variant used in various European and Afrikaans-speaking contexts.
  • D. Taina Elg
    Taina Elg is a Finnish-American actress and dancer best known for her work in mid-20th-century Hollywood musicals and on Broadway.
  • E. Millyea
    Millyea is a notable summit located within the Dungeon Hills range.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654fee3e48190ae728e49748ad268 completed April 20, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccd03e1c8190b071094617f9d07a completed May 16, 2026, 1:48 a.m.
NEDg Description generation batch_6a07cf5a1ae081908d488a43a96ced2e completed May 16, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_6a07cfc2ef148190a9044a06f55ef369 completed May 16, 2026, 2 a.m.
Created at: April 10, 2026, 1:50 p.m.