Triple

T329206
Position Surface form Disambiguated ID Type / Status
Subject John Parker E6587 entity
Predicate familyName P18 FINISHED
Object Parker
Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
 E44427 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: Parker | Statement: [John Parker, familyName, Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Parker
Context triple: [John Parker, familyName, Parker]
  • A. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • B. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • C. Otis
    Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
  • D. Gordon
    Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
  • E. Holden
    Holden was an Australian automobile manufacturer and marque owned by General Motors, known for producing popular locally designed cars before ceasing operations in the 21st century.
  • 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: Parker
Triple: [John Parker, familyName, Parker]
Generated description
Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Parker
Target entity description: Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
  • A. Elliott
    Elliott is a masculine given name of English origin, often used as both a first name and a surname.
  • B. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • C. Otis
    Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
  • D. Gordon
    Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
  • E. Holden
    Holden was an Australian automobile manufacturer and marque owned by General Motors, known for producing popular locally designed cars before ceasing operations in the 21st century.
  • 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_69a2e7933d6c8190bb2592ad13286ef2 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eaad37b0819085beda2a491da9a8 completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3dd2def2081908bd67a3ae4e93ddf completed March 1, 2026, 6:31 a.m.
NEDg Description generation batch_69a3ddaba7e081909494e119cc0773a1 completed March 1, 2026, 6:33 a.m.
NED2 Entity disambiguation (via description) batch_69a3de19752881909d60b52f9ba3b378 completed March 1, 2026, 6:35 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.