Triple

T949376
Position Surface form Disambiguated ID Type / Status
Subject Mark Meadows E20485 entity
Predicate familyName P18 FINISHED
Object Meadows
Meadows is a surname most prominently associated with Mark Meadows, a former White House Chief of Staff and U.S. congressman.
E115767 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: Meadows | Statement: [Mark Meadows, familyName, Meadows]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meadows
Context triple: [Mark Meadows, familyName, Meadows]
  • A. Greenmeadow
    Greenmeadow is a residential neighbourhood within the town of Cwmbran in South Wales.
  • B. Sandfields
    Sandfields is a coastal residential and industrial area within the county borough of Neath Port Talbot in South Wales.
  • C. Fairy Meadow
    Fairy Meadow is a coastal suburb of Wollongong in New South Wales, Australia, known for its beaches, residential areas, and proximity to the University of Wollongong.
  • D. The Ridges
    The Ridges is a historic former mental health hospital complex in Athens, Ohio, now repurposed for university and community use and known for its distinctive Victorian architecture and cultural significance.
  • E. The Prairie
    The Prairie is an 1827 frontier novel by James Fenimore Cooper, part of the Leatherstocking Tales, that follows Natty Bumppo in his old age on the Great Plains of the American West.
  • 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: Meadows
Triple: [Mark Meadows, familyName, Meadows]
Generated description
Meadows is a surname most prominently associated with Mark Meadows, a former White House Chief of Staff and U.S. congressman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Meadows
Target entity description: Meadows is a surname most prominently associated with Mark Meadows, a former White House Chief of Staff and U.S. congressman.
  • A. Greenmeadow
    Greenmeadow is a residential neighbourhood within the town of Cwmbran in South Wales.
  • B. Sandfields
    Sandfields is a coastal residential and industrial area within the county borough of Neath Port Talbot in South Wales.
  • C. Fairy Meadow
    Fairy Meadow is a coastal suburb of Wollongong in New South Wales, Australia, known for its beaches, residential areas, and proximity to the University of Wollongong.
  • D. The Ridges
    The Ridges is a historic former mental health hospital complex in Athens, Ohio, now repurposed for university and community use and known for its distinctive Victorian architecture and cultural significance.
  • E. The Prairie
    The Prairie is an 1827 frontier novel by James Fenimore Cooper, part of the Leatherstocking Tales, that follows Natty Bumppo in his old age on the Great Plains of the American West.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3c191ac819099ebf3cb32f096d8 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1cd569a4819082687be40145331e completed March 7, 2026, 12:40 p.m.
NEDg Description generation batch_69ac1dc3ba18819093f2707f8869887c completed March 7, 2026, 12:44 p.m.
NED2 Entity disambiguation (via description) batch_69ac1e370bcc819089ebd997b9b15f2e completed March 7, 2026, 12:46 p.m.
Created at: March 1, 2026, 7:40 p.m.