Triple

T17697709
Position Surface form Disambiguated ID Type / Status
Subject H. Rider Haggard E441213 entity
Predicate notableWork P4 FINISHED
Object Jess
Jess is an 1887 adventure novel by H. Rider Haggard, set in South Africa and centered on romance, conflict, and colonial-era intrigue.
 E1282575 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: [H. Rider Haggard, notableWork, Jess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jess
Context triple: [H. Rider Haggard, notableWork, 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. Jess
    Jess is the affectionate nickname commonly used for the character Jessica Day.
  • C. Jessika
    Jessika is a feminine given name, typically considered a modern or alternative spelling of Jessica.
  • D. 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.
  • E. Jennifer
    "Jennifer" is the viral R&B-pop single by American singer Trinidad Cardona that gained widespread attention online and launched his music career.
  • 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: [H. Rider Haggard, notableWork, Jess]
Generated description
Jess is an 1887 adventure novel by H. Rider Haggard, set in South Africa and centered on romance, conflict, and colonial-era intrigue.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jess
Target entity description: Jess is an 1887 adventure novel by H. Rider Haggard, set in South Africa and centered on romance, conflict, and colonial-era intrigue.
  • 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. Jess
    Jess is the affectionate nickname commonly used for the character Jessica Day.
  • C. Jessika
    Jessika is a feminine given name, typically considered a modern or alternative spelling of Jessica.
  • D. 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.
  • E. Jennifer
    "Jennifer" is the viral R&B-pop single by American singer Trinidad Cardona that gained widespread attention online and launched his music career.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47157fd688190ba990eaf46ceab01 completed April 19, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0223365be08190992b1e80553aebcc completed May 11, 2026, 6:43 p.m.
NEDg Description generation batch_6a0224af2c7c819095b771014f36d0e4 completed May 11, 2026, 6:49 p.m.
NED2 Entity disambiguation (via description) batch_6a02259ef96881909660d18a4a149f8f completed May 11, 2026, 6:53 p.m.
Created at: April 10, 2026, 10:04 a.m.