Triple

T2614290
Position Surface form Disambiguated ID Type / Status
Subject Indianapolis E58849 entity
Predicate hasMayor P185 FINISHED
Object Joe Hogsett
Joe Hogsett is an American politician and attorney who serves as the mayor of Indianapolis, Indiana.
E282533 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: Joe Hogsett | Statement: [Indianapolis, hasMayor, Joe Hogsett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Hogsett
Context triple: [Indianapolis, hasMayor, Joe Hogsett]
  • A. Larry Robinson
    Larry Robinson is an American academic and administrator best known for serving as president of Florida A&M University.
  • B. Vic Bubas
    Vic Bubas was a prominent American college basketball coach best known for transforming Duke University into a national powerhouse in the 1960s.
  • C. Bobby McDermott
    Bobby McDermott was an American professional basketball guard widely regarded as one of the greatest players of the pre-NBA era, known for his prolific scoring and multiple championships in the 1930s and 1940s.
  • D. Oscar Furlong
    Oscar Furlong was an Argentine basketball player renowned as one of the sport’s early international stars, particularly for leading Argentina to prominence in the mid-20th century.
  • E. Tom Luddy
    Tom Luddy was an American film producer, curator, and influential cinephile best known as a co-founder and long-time guiding force of the Telluride Film Festival.
  • 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: Joe Hogsett
Triple: [Indianapolis, hasMayor, Joe Hogsett]
Generated description
Joe Hogsett is an American politician and attorney who serves as the mayor of Indianapolis, Indiana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Joe Hogsett
Target entity description: Joe Hogsett is an American politician and attorney who serves as the mayor of Indianapolis, Indiana.
  • A. Larry Robinson
    Larry Robinson is an American academic and administrator best known for serving as president of Florida A&M University.
  • B. Vic Bubas
    Vic Bubas was a prominent American college basketball coach best known for transforming Duke University into a national powerhouse in the 1960s.
  • C. Bobby McDermott
    Bobby McDermott was an American professional basketball guard widely regarded as one of the greatest players of the pre-NBA era, known for his prolific scoring and multiple championships in the 1930s and 1940s.
  • D. Oscar Furlong
    Oscar Furlong was an Argentine basketball player renowned as one of the sport’s early international stars, particularly for leading Argentina to prominence in the mid-20th century.
  • E. Tom Luddy
    Tom Luddy was an American film producer, curator, and influential cinephile best known as a co-founder and long-time guiding force of the Telluride Film Festival.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87fb87c819093b02c67c76d51fd completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83eb8b088190b1ea47c6d42033c5 completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af84a15b5c8190bb68b6ff313adb6c completed March 10, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69af85aa5f548190a4ce1a4ff38ca5e3 completed March 10, 2026, 2:44 a.m.
Created at: March 6, 2026, 9:50 p.m.