Triple

T1327591
Position Surface form Disambiguated ID Type / Status
Subject Colin E28364 entity
Predicate hasVariant P455 FINISHED
Object Collin
Collin is a masculine given name, often considered a variant of Colin, used in English-speaking countries.
 E151600 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: Collin | Statement: [Colin, hasVariant, Collin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Collin
Context triple: [Colin, hasVariant, Collin]
  • A. Grayson
    Grayson is an unincorporated community located in Stanislaus County, California.
  • B. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • C. Lamar
    Lamar is a surname most notably associated with Mirabeau B. Lamar, the second president of the Republic of Texas.
  • D. Addison
    Addison is a small, business-focused town in the Dallas–Fort Worth metropolitan area known for its dense concentration of restaurants, corporate offices, and frequent special events.
  • E. Everette
    Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
  • 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: Collin
Triple: [Colin, hasVariant, Collin]
Generated description
Collin is a masculine given name, often considered a variant of Colin, used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Collin
Target entity description: Collin is a masculine given name, often considered a variant of Colin, used in English-speaking countries.
  • A. Grayson
    Grayson is an unincorporated community located in Stanislaus County, California.
  • B. Hayes
    Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
  • C. Lamar
    Lamar is a surname most notably associated with Mirabeau B. Lamar, the second president of the Republic of Texas.
  • D. Addison
    Addison is a small, business-focused town in the Dallas–Fort Worth metropolitan area known for its dense concentration of restaurants, corporate offices, and frequent special events.
  • E. Everette
    Everette is the given first name of E. Howard Hunt, the American intelligence officer and author involved in the Watergate scandal.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1c1d8188190b15a641a08345adc completed March 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf32b488819095dc63d338a30b9b completed March 8, 2026, 12:13 a.m.
NEDg Description generation batch_69acbfc03f20819089a025fc745c9203 completed March 8, 2026, 12:16 a.m.
NED2 Entity disambiguation (via description) batch_69acc0282080819087676813c2852a96 completed March 8, 2026, 12:17 a.m.
Created at: March 1, 2026, 7:55 p.m.