Triple

T955227
Position Surface form Disambiguated ID Type / Status
Subject Regulation T E20609 entity
Predicate alsoKnownAs P39 FINISHED
Object Reg T
Reg T is a Federal Reserve Board regulation that governs the extension of credit by brokers and dealers for the purchase of securities in the United States.
 E112708 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: Reg T | Statement: [Regulation T, alsoKnownAs, Reg T]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Reg T
Context triple: [Regulation T, alsoKnownAs, Reg T]
  • A. Ross
    Ross is a small, affluent residential town in Marin County, California, known for its wooded setting and quiet, upscale character.
  • B. Ross
    Ross is a common Scottish-origin surname borne by numerous notable figures across fields such as politics, science, arts, and sports.
  • C. Reagan Arthur
    Reagan Arthur is an American book editor and publishing executive known for her influential leadership roles at major publishing houses.
  • D. Reid
    Reid is a common Scottish and Irish surname that has been borne by numerous notable figures across fields such as science, politics, and the arts.
  • E. James Rogers
    James Rogers is a common personal name shared by numerous individuals across various fields, including politics, academia, sports, and the arts.
  • 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: Reg T
Triple: [Regulation T, alsoKnownAs, Reg T]
Generated description
Reg T is a Federal Reserve Board regulation that governs the extension of credit by brokers and dealers for the purchase of securities in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Reg T
Target entity description: Reg T is a Federal Reserve Board regulation that governs the extension of credit by brokers and dealers for the purchase of securities in the United States.
  • A. Ross
    Ross is a common Scottish-origin surname borne by numerous notable figures across fields such as politics, science, arts, and sports.
  • B. Ross
    Ross is a small, affluent residential town in Marin County, California, known for its wooded setting and quiet, upscale character.
  • C. Reagan Arthur
    Reagan Arthur is an American book editor and publishing executive known for her influential leadership roles at major publishing houses.
  • D. Reid
    Reid is a common Scottish and Irish surname that has been borne by numerous notable figures across fields such as science, politics, and the arts.
  • E. James Rogers
    James Rogers is a common personal name shared by numerous individuals across various fields, including politics, academia, sports, and the arts.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3f7a7608190b8a8dd2486654bec completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a933b00a58819084164f3dd3ecb070 completed March 5, 2026, 7:41 a.m.
NEDg Description generation batch_69a963a788f08190b8849631db63bf00 completed March 5, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_69ac0da2d24881909e6f67cc9951efd2 completed March 7, 2026, 11:36 a.m.
Created at: March 1, 2026, 7:40 p.m.