Triple

T1465784
Position Surface form Disambiguated ID Type / Status
Subject Stephen G. Breyer E27018 entity
Predicate middleName P143 FINISHED
Object Gerald
Gerald is the middle name of Stephen G. Breyer, a former Associate Justice of the United States Supreme Court.
 E174748 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: Gerald | Statement: [Stephen G. Breyer, middleName, Gerald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gerald
Context triple: [Stephen G. Breyer, middleName, Gerald]
  • A. Gerald
    Gerald is the birth name of Jerry Brown, the longtime Democratic politician and former governor of California.
  • B. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • C. Gerard
    Gerard is a masculine given name of Germanic origin, commonly used in various European countries.
  • D. Gordon
    Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
  • E. Reginald
    Reginald is a masculine given name of English origin that has been borne by various notable figures, including military officers, politicians, and artists.
  • 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: Gerald
Triple: [Stephen G. Breyer, middleName, Gerald]
Generated description
Gerald is the middle name of Stephen G. Breyer, a former Associate Justice of the United States Supreme Court.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gerald
Target entity description: Gerald is the middle name of Stephen G. Breyer, a former Associate Justice of the United States Supreme Court.
  • A. Gerald
    Gerald is the birth name of Jerry Brown, the longtime Democratic politician and former governor of California.
  • B. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • C. Gerard
    Gerard is a masculine given name of Germanic origin, commonly used in various European countries.
  • D. Gordon
    Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
  • E. Reginald
    Reginald is a masculine given name of English origin that has been borne by various notable figures, including military officers, politicians, and artists.
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5bb4e288190997c7e8985e9a2bd completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad293ec1c48190b9b7a982104c4664 completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad29b9ffa88190a047b213cbfd4c84 completed March 8, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a2d6b7c819083042c3a36fb55e4 completed March 8, 2026, 7:50 a.m.
Created at: March 1, 2026, 8:01 p.m.