Triple

T11685635
Position Surface form Disambiguated ID Type / Status
Subject Jessica Day E277735 entity
Predicate nickname P55 FINISHED
Object Jess
Jess is the affectionate nickname commonly used for the character Jessica Day.
 E940936 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: Jess | Statement: [Jessica Day, nickname, Jess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jess
Context triple: [Jessica Day, nickname, Jess]
  • A. Jess
    Jess is a supporting character in the romantic comedy film "When Harry Met Sally..." who serves as Harry’s best friend and provides comic relief and relationship advice.
  • B. 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.
  • C. Jane
    Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
  • D. Jane
    Jane is a powerful vampire in the Twilight series, known for her childlike appearance and her ability to inflict excruciating pain with her mind as a high-ranking enforcer of the Volturi.
  • E. Jane
    Jane was a British sealing and exploration vessel commanded by James Weddell during his early 19th-century Antarctic voyages.
  • 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: Jess
Triple: [Jessica Day, nickname, Jess]
Generated description
Jess is the affectionate nickname commonly used for the character Jessica Day.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jess
Target entity description: Jess is the affectionate nickname commonly used for the character Jessica Day.
  • A. Jess
    Jess is a supporting character in the romantic comedy film "When Harry Met Sally..." who serves as Harry’s best friend and provides comic relief and relationship advice.
  • B. 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.
  • C. Jane
    Jane was a British sealing and exploration vessel commanded by James Weddell during his early 19th-century Antarctic voyages.
  • D. Jane
    Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
  • E. Jane
    Jane is a powerful vampire in the Twilight series, known for her childlike appearance and her ability to inflict excruciating pain with her mind as a high-ranking enforcer of the Volturi.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1433be908190b2ac887655a6c85a completed April 27, 2026, 7:45 a.m.
NEDg Description generation batch_69ef511f8f688190b2806d4e8ab16511 completed April 27, 2026, 12:05 p.m.
NED2 Entity disambiguation (via description) batch_69ef537efcc48190afffaa50f28940d8 completed April 27, 2026, 12:15 p.m.
Created at: April 8, 2026, 9:40 p.m.