Triple

T1509664
Position Surface form Disambiguated ID Type / Status
Subject Gerald Guralnik E33984 entity
Predicate hasGivenName P17 FINISHED
Object Gerald
Gerald is a masculine given name of Germanic origin, commonly used in English-speaking countries.
E175316 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: [Gerald Guralnik, hasGivenName, Gerald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerald
Context triple: [Gerald Guralnik, hasGivenName, Gerald]
  • A. Gerald
    Gerald is the birth name of Jerry Brown, the longtime Democratic politician and former governor of California.
  • B. Gerald
    Gerald is the middle name of Stephen G. Breyer, a former Associate Justice of the United States Supreme Court.
  • C. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • D. Gerard
    Gerard is a masculine given name of Germanic origin, commonly used in various European countries.
  • E. Gordon
    Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
  • 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: [Gerald Guralnik, hasGivenName, Gerald]
Generated description
Gerald is a masculine given name of Germanic origin, commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gerald
Target entity description: Gerald is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • A. Gerald
    Gerald is the birth name of Jerry Brown, the longtime Democratic politician and former governor of California.
  • B. Gerald
    Gerald is the middle name of Stephen G. Breyer, a former Associate Justice of the United States Supreme Court.
  • C. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • D. Gerard
    Gerard is a masculine given name of Germanic origin, commonly used in various European countries.
  • E. Gordon
    Gordon is the middle name of the famed Romantic poet Lord Byron, whose full name is George Gordon Byron.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8891e9da881909d0b12f1bc05863f completed March 4, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad308dba548190b81999135210cc96 completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad314a47fc8190aa9ad017b87d48b0 completed March 8, 2026, 8:20 a.m.
NED2 Entity disambiguation (via description) batch_69ad31a17f5c8190b0d56b449f79cca5 completed March 8, 2026, 8:21 a.m.
Created at: March 4, 2026, 7:24 p.m.