Triple

T10081860
Position Surface form Disambiguated ID Type / Status
Subject Randy Buckner E213919 entity
Predicate researchFocus P31 FINISHED
Object default mode network
The default mode network is a large-scale brain network most active during rest and internally focused thought, such as mind-wandering, self-referential processing, and remembering the past.
 E840532 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: default mode network | Statement: [Randy Buckner, researchFocus, default mode network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: default mode network
Context triple: [Randy Buckner, researchFocus, default mode network]
  • A. BasicNet
    BasicNet is an Italian company best known for owning and managing sportswear and lifestyle brands such as Kappa, Robe di Kappa, and Superga.
  • B. AVE network
    The AVE network is Spain’s high-speed rail system that connects major cities across the country with fast, long-distance train services.
  • C. ENIC Network
    The ENIC Network is a European network of national information centres that supports the recognition of foreign qualifications and promotes fair academic mobility across countries.
  • D. Net/2
    Net/2 is a variant of the BSD family of Unix-like operating systems, tailored as a lightweight, network-focused distribution.
  • E. NAT
    NAT is the station code used to identify Nationaltheatret railway station in Oslo, Norway.
  • 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: default mode network
Triple: [Randy Buckner, researchFocus, default mode network]
Generated description
The default mode network is a large-scale brain network most active during rest and internally focused thought, such as mind-wandering, self-referential processing, and remembering the past.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: default mode network
Target entity description: The default mode network is a large-scale brain network most active during rest and internally focused thought, such as mind-wandering, self-referential processing, and remembering the past.
  • A. BasicNet
    BasicNet is an Italian company best known for owning and managing sportswear and lifestyle brands such as Kappa, Robe di Kappa, and Superga.
  • B. AVE network
    The AVE network is Spain’s high-speed rail system that connects major cities across the country with fast, long-distance train services.
  • C. ENIC Network
    The ENIC Network is a European network of national information centres that supports the recognition of foreign qualifications and promotes fair academic mobility across countries.
  • D. Net/2
    Net/2 is a variant of the BSD family of Unix-like operating systems, tailored as a lightweight, network-focused distribution.
  • E. NAT
    NAT is the station code used to identify Nationaltheatret railway station in Oslo, Norway.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd03482d481908b03d35dc2d16395 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b66b256c8190861066f7c19008d2 completed April 5, 2026, 7:22 p.m.
NEDg Description generation batch_69d2b78f3c248190b104937e2d669882 completed April 5, 2026, 7:27 p.m.
NED2 Entity disambiguation (via description) batch_69d2b84a26a481908ab2705d5883cfce completed April 5, 2026, 7:30 p.m.
Created at: March 30, 2026, 9 p.m.