Triple

T2827178
Position Surface form Disambiguated ID Type / Status
Subject Gerhard E54950 entity
Predicate hasShortForm P43 FINISHED
Object Gary
Gary is a masculine given name commonly used in English-speaking countries, often derived as a short form of names like Gerhard.
E38130 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: Gary | Statement: [Gerhard, hasShortForm, Gary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary
Context triple: [Gerhard, hasShortForm, Gary]
  • A. Gary
    Gary is an industrial city in northwest Indiana, historically known for its steel production and location within the American Rust Belt.
  • B. Guy
    Guy is a masculine given name of French origin that has been widely used in English-speaking countries.
  • C. Guy
    Guy is an influential American R&B group, central to the development of the new jack swing sound in the late 1980s and early 1990s.
  • D. Greg
    Greg is a male given name commonly used in English-speaking countries, often as a short form of Gregory.
  • 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: Gary
Triple: [Gerhard, hasShortForm, Gary]
Generated description
Gary is a masculine given name commonly used in English-speaking countries, often derived as a short form of names like Gerhard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gary
Target entity description: Gary is a masculine given name commonly used in English-speaking countries, often derived as a short form of names like Gerhard.
  • A. Gary chosen
    Gary is an industrial city in northwest Indiana, historically known for its steel production and location within the American Rust Belt.
  • B. Guy
    Guy is a masculine given name of French origin that has been widely used in English-speaking countries.
  • C. Guy
    Guy is an influential American R&B group, central to the development of the new jack swing sound in the late 1980s and early 1990s.
  • D. Greg
    Greg is a male given name commonly used in English-speaking countries, often as a short form of Gregory.
  • 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.

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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde95d8148190bcae8b0659a5c116 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceb20c508190ba87e102ba250a00 completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcf8b032c8190b5fe0777bb0283ee completed March 10, 2026, 8 a.m.
NED2 Entity disambiguation (via description) batch_69afcfe8a140819095daa37d539e4c72 completed March 10, 2026, 8:01 a.m.
Created at: March 6, 2026, 9:59 p.m.