Triple

T4188
Position Surface form Disambiguated ID Type / Status
Subject Douglas E80 entity
Predicate hasDiminutive P456 FINISHED
Object Doug
Doug is a common English masculine given name, typically used as a short form of Douglas.
E1851 NE FINISHED

How this triple was built (5 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: Doug | Statement: [Douglas, hasDiminutive, Doug]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doug
Context triple: [Douglas, hasDiminutive, Doug]
  • A. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • B. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. Rogers
    Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • E. Wes Wise
    Wes Wise is an American journalist and politician who served as mayor of Dallas, Texas, in the 1970s.
  • 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: Doug
Triple: [Douglas, hasDiminutive, Doug]
Generated description
Doug is a common English masculine given name, typically used as a short form of Douglas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Doug
Target entity description: Doug is a common English masculine given name, typically used as a short form of Douglas.
  • A. Andrew
    Andrew is a masculine given name of Greek origin meaning "manly" or "brave," widely used in English-speaking countries and beyond.
  • B. Lee
    Lee is a given name shared by numerous individuals across different cultures and professions.
  • C. Edwin
    Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
  • D. Rogers
    Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • E. Wes Wise
    Wes Wise is an American journalist and politician who served as mayor of Dallas, Texas, in the 1970s.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDiminutive
Context triple: [Douglas, hasDiminutive, Doug]
  • A. hasDemonym
    Indicates that one entity is the term (demonym) used to refer to the inhabitants or natives of another entity (typically a place).
  • B. honorificSuffix
    Indicates that one entity is a respectful or formal suffix appended to another entity’s name or title.
  • C. formerName
    Indicates that an entity was previously known by a different name in the past.
  • D. middleName
    Indicates that one entity is the middle name of another entity.
  • E. hasMascot
    Indicates that an entity is represented or symbolized by a particular mascot.
  • F. None of above. chosen

Provenance (7 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_69a238d6b47881909e68288aed2fd858 completed Feb. 28, 2026, 12:37 a.m.
NER Named-entity recognition batch_69a23c24b3d08190a714126292fd5479 completed Feb. 28, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69a248d31b848190bad943bca271fca0 completed Feb. 28, 2026, 1:45 a.m.
NEDg Description generation batch_69a2496e8d8081908224d3b8c8e9281f completed Feb. 28, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_69a24a20f1608190afcf1281c34eea76 completed Feb. 28, 2026, 1:51 a.m.
PD Predicate disambiguation batch_69a23998af288190855f0456740cbd51 completed Feb. 28, 2026, 12:40 a.m.
PDg Predicate description generation batch_69a23c23fef88190ba5d6d86acd4a66f completed Feb. 28, 2026, 12:51 a.m.
Created at: Feb. 28, 2026, 12:40 a.m.