Triple

T5619950
Position Surface form Disambiguated ID Type / Status
Subject James Weddell E147575 entity
Predicate shipUsed P880 FINISHED
Object Jane
Jane was a British sealing and exploration vessel commanded by James Weddell during his early 19th-century Antarctic voyages.
 E539599 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: Jane | Statement: [James Weddell, shipUsed, Jane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jane
Context triple: [James Weddell, shipUsed, Jane]
  • A. Jane
    Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
  • B. 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.
  • C. Emily
    Emily Warren Roebling was a pioneering 19th-century American engineer best known for her crucial role in overseeing the completion of the Brooklyn Bridge.
  • D. Emily
    Emily is a given name commonly used in English-speaking countries, often associated with literary, historical, and contemporary cultural figures.
  • 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: Jane
Triple: [James Weddell, shipUsed, Jane]
Generated description
Jane was a British sealing and exploration vessel commanded by James Weddell during his early 19th-century Antarctic voyages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jane
Target entity description: Jane was a British sealing and exploration vessel commanded by James Weddell during his early 19th-century Antarctic voyages.
  • A. Jane
    Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
  • B. 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.
  • C. Emily
    Emily is a given name commonly used in English-speaking countries, often associated with literary, historical, and contemporary cultural figures.
  • D. Emily
    Emily Warren Roebling was a pioneering 19th-century American engineer best known for her crucial role in overseeing the completion of the Brooklyn Bridge.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c022108db8819098739510366adee1 completed March 22, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a0ed3748190875aacdf5e9ee211 completed March 22, 2026, 9:07 p.m.
NEDg Description generation batch_69c05cabceac819095c4a114220efb1a completed March 22, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_69c05d2b67888190bc89e4cbd384c15f completed March 22, 2026, 9:20 p.m.
Created at: March 22, 2026, 3:40 p.m.