Triple

T9938180
Position Surface form Disambiguated ID Type / Status
Subject Southlake, Texas E194007 entity
Predicate mayor P185 FINISHED
Object John Huffman
John Huffman is an American local politician serving as the mayor of Southlake, Texas.
E830921 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 Huffman | Statement: [Southlake, Texas, mayor, John Huffman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Huffman
Context triple: [Southlake, Texas, mayor, John Huffman]
  • A. Steve Hilliard
    Steve Hilliard is a character in the romantic comedy film "The Opposite Sex."
  • B. Mark Ellam
    Mark Ellam is a cinematographer known for his work on the film "The Take."
  • C. David Hilliard
    David Hilliard is an American activist and former chief of staff of the Black Panther Party, known for his prominent role in the Black Power movement of the 1960s and 1970s.
  • D. Michael B. Hurley
    Michael B. Hurley is an individual notable enough to be specifically cited as a namesake of the surname Hurley, though detailed public information about his life or achievements is limited.
  • E. Guy C. Wiggins
    Guy C. Wiggins was an American Impressionist painter best known for his atmospheric cityscapes of New York, often depicted in snow.
  • 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 Huffman
Triple: [Southlake, Texas, mayor, John Huffman]
Generated description
John Huffman is an American local politician serving as the mayor of Southlake, Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Huffman
Target entity description: John Huffman is an American local politician serving as the mayor of Southlake, Texas.
  • A. Steve Hilliard
    Steve Hilliard is a character in the romantic comedy film "The Opposite Sex."
  • B. Mark Ellam
    Mark Ellam is a cinematographer known for his work on the film "The Take."
  • C. David Hilliard
    David Hilliard is an American activist and former chief of staff of the Black Panther Party, known for his prominent role in the Black Power movement of the 1960s and 1970s.
  • D. Michael B. Hurley
    Michael B. Hurley is an individual notable enough to be specifically cited as a namesake of the surname Hurley, though detailed public information about his life or achievements is limited.
  • E. Guy C. Wiggins
    Guy C. Wiggins was an American Impressionist painter best known for his atmospheric cityscapes of New York, often depicted in snow.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e64760819094f599f158d32f33 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228f259b081909ce8a90ec1adad0d completed April 5, 2026, 9:18 a.m.
NEDg Description generation batch_69d22a78819481908ccff34730464f19 completed April 5, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_69d22b0fea588190a4928c361c2367ca completed April 5, 2026, 9:27 a.m.
Created at: March 30, 2026, 8:44 p.m.