Triple

T18475466
Position Surface form Disambiguated ID Type / Status
Subject Franklin, Tennessee E451419 entity
Predicate hasMayor P185 FINISHED
Object Ken Moore
Ken Moore is an American politician who serves as the mayor of Franklin, Tennessee.
E1326687 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: Ken Moore | Statement: [Franklin, Tennessee, hasMayor, Ken Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Moore
Context triple: [Franklin, Tennessee, hasMayor, Ken Moore]
  • A. Peter Moore
    Peter Moore is a former Australian rules footballer best known for winning two Brownlow Medals and playing for Collingwood and Melbourne in the VFL.
  • B. Christian Moore
    Christian Moore is one of the children of the late British actor Sir Roger Moore, famed for his portrayal of James Bond.
  • C. Kevin Moore
    Kevin Moore is an American keyboardist and composer best known as a former member of the progressive metal band Dream Theater and for his solo work under the name Chroma Key.
  • D. Dan Moore
    Dan Moore is a fictional character appearing in the work "Cane."
  • E. Lee Boardman
    Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
  • 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: Ken Moore
Triple: [Franklin, Tennessee, hasMayor, Ken Moore]
Generated description
Ken Moore is an American politician who serves as the mayor of Franklin, Tennessee.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ken Moore
Target entity description: Ken Moore is an American politician who serves as the mayor of Franklin, Tennessee.
  • A. Peter Moore
    Peter Moore is a former Australian rules footballer best known for winning two Brownlow Medals and playing for Collingwood and Melbourne in the VFL.
  • B. Christian Moore
    Christian Moore is one of the children of the late British actor Sir Roger Moore, famed for his portrayal of James Bond.
  • C. Kevin Moore
    Kevin Moore is an American keyboardist and composer best known as a former member of the progressive metal band Dream Theater and for his solo work under the name Chroma Key.
  • D. Dan Moore
    Dan Moore is a fictional character appearing in the work "Cane."
  • E. Lee Boardman
    Lee Boardman is a British actor known for his roles in television dramas such as Rome and Coronation Street.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53062f67881909620c4e8fc00eb7d completed April 19, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f2ae2888190ae12fee12cf419ff completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a043fd646b88190b0d232e740ae22ba completed May 13, 2026, 9:09 a.m.
NED2 Entity disambiguation (via description) batch_6a04403951608190bc24c914175f18bc completed May 13, 2026, 9:11 a.m.
Created at: April 10, 2026, 11:34 a.m.