Triple

T1617003
Position Surface form Disambiguated ID Type / Status
Subject Gillian E34741 entity
Predicate hasVariant P455 FINISHED
Object Jillian
Jillian is a feminine given name, commonly considered a variant of Gillian and used in English-speaking countries.
E190234 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: Jillian | Statement: [Gillian, hasVariant, Jillian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jillian
Context triple: [Gillian, hasVariant, Jillian]
  • A. Jillian Russell
    Jillian Russell is a recurring character on the animated TV show "Family Guy," known as Brian Griffin’s attractive but somewhat dim-witted human girlfriend.
  • B. Gianna
    Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
  • C. Jill Sinclair
    Jill Sinclair was a British businesswoman and influential music industry executive who co-founded the ZTT record label and the Sarm Studios complex.
  • D. Hayley
    Hayley is a Canadian former ice hockey player widely regarded as one of the greatest female hockey players of all time.
  • E. Jennifer
    Jennifer is a common feminine given name of English origin, derived from the Cornish form of Guinevere and widely used in many English-speaking countries.
  • 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: Jillian
Triple: [Gillian, hasVariant, Jillian]
Generated description
Jillian is a feminine given name, commonly considered a variant of Gillian and used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jillian
Target entity description: Jillian is a feminine given name, commonly considered a variant of Gillian and used in English-speaking countries.
  • A. Jillian Russell
    Jillian Russell is a recurring character on the animated TV show "Family Guy," known as Brian Griffin’s attractive but somewhat dim-witted human girlfriend.
  • B. Gianna
    Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
  • C. Jill Sinclair
    Jill Sinclair was a British businesswoman and influential music industry executive who co-founded the ZTT record label and the Sarm Studios complex.
  • D. Hayley
    Hayley is a Canadian former ice hockey player widely regarded as one of the greatest female hockey players of all time.
  • E. Jennifer
    Jennifer is a common feminine given name of English origin, derived from the Cornish form of Guinevere and widely used in many English-speaking countries.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909abbec081908f95547471530ad5 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71a348788190ae6b8d0b4f10559b completed March 8, 2026, 12:54 p.m.
NEDg Description generation batch_69ad74282e5081908eefa5d51c971444 completed March 8, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_69ad7488b998819099638a7bf0be2c79 completed March 8, 2026, 1:07 p.m.
Created at: March 4, 2026, 7:28 p.m.