Triple

T92178
Position Surface form Disambiguated ID Type / Status
Subject Doug E1851 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Dougie
Dougie is a familiar diminutive form of the given name Doug, often used as an affectionate nickname.
E27036 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: Dougie | Statement: [Doug, hasDiminutiveForm, Dougie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dougie
Context triple: [Doug, hasDiminutiveForm, Dougie]
  • A. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • B. Dennis
    Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
  • C. Forfar
    Forfar is a historic market town in eastern Scotland that serves as the administrative center of the council area of Angus.
  • D. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • E. Monty
    Monty is the nickname of British Field Marshal Bernard Law Montgomery, a prominent World War II commander best known for his leadership in the North African and European campaigns.
  • 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: Dougie
Triple: [Doug, hasDiminutiveForm, Dougie]
Generated description
Dougie is a familiar diminutive form of the given name Doug, often used as an affectionate nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dougie
Target entity description: Dougie is a familiar diminutive form of the given name Doug, often used as an affectionate nickname.
  • A. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • B. Dennis
    Dennis is a coastal town on Cape Cod in Massachusetts known for its beaches, historic charm, and popular summer tourism.
  • C. Forfar
    Forfar is a historic market town in eastern Scotland that serves as the administrative center of the council area of Angus.
  • D. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • E. Monty
    Monty is the nickname of British Field Marshal Bernard Law Montgomery, a prominent World War II commander best known for his leadership in the North African and European campaigns.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDiminutiveForm
Context triple: [Doug, hasDiminutiveForm, Dougie]
  • A. hasDiminutive chosen
    Indicates that one entity is a diminutive form or smaller/affectionate variant of another entity.
  • B. hasFullForm
    Indicates that one entity is the complete, expanded, or unabbreviated form of another entity.
  • C. hasEndonym
    Indicates that an entity has a name or designation used by native speakers or within its own local language or community.
  • D. hasDemonym
    Indicates that one entity is the term (demonym) used to refer to the inhabitants or natives of another entity (typically a place).
  • E. hasGrammaticalGender
    Indicates that one entity assigns or possesses a specific grammatical gender in relation to another entity (such as a word, phrase, or linguistic unit).
  • F. None of above.

Provenance (6 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a2512ef600819084d3c627f0d534f4 completed Feb. 28, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69a332c400788190bb9beca3246bcf46 completed Feb. 28, 2026, 6:24 p.m.
NEDg Description generation batch_69a33361723c8190b2b9132658a8a5f5 completed Feb. 28, 2026, 6:26 p.m.
NED2 Entity disambiguation (via description) batch_69a33727fda08190a740222f5e279130 completed Feb. 28, 2026, 6:42 p.m.
PD Predicate disambiguation batch_69a24eb9a5ac8190b1d1300e8c4e3606 completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.