Triple

T90338
Position Surface form Disambiguated ID Type / Status
Subject James E1815 entity
Predicate isRelatedName P3889 FINISHED
Object Jim
Jim is a common English given name, typically used as a diminutive or familiar form of James.
 E24180 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: Jim | Statement: [James, isRelatedName, Jim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jim
Context triple: [James, isRelatedName, Jim]
  • A. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • B. Jamie
    Jamie is a given name commonly used as a diminutive or variant of James, and is borne by people of all genders in English-speaking countries.
  • C. Stephen
    Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
  • D. John
    John H. Sununu is an American politician and engineer who served as Governor of New Hampshire and later as White House Chief of Staff under President George H. W. Bush.
  • E. John
    John is the given name of John Bardeen, the American physicist who uniquely won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
  • 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: Jim
Triple: [James, isRelatedName, Jim]
Generated description
Jim is a common English given name, typically used as a diminutive or familiar form of James.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jim
Target entity description: Jim is a common English given name, typically used as a diminutive or familiar form of James.
  • A. Jack
    Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
  • B. Jamie
    Jamie is a given name commonly used as a diminutive or variant of James, and is borne by people of all genders in English-speaking countries.
  • C. Stephen
    Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
  • D. John
    John H. Sununu is an American politician and engineer who served as Governor of New Hampshire and later as White House Chief of Staff under President George H. W. Bush.
  • E. John
    John is the given name of John Bardeen, the American physicist who uniquely won the Nobel Prize in Physics twice for his work on the transistor and superconductivity.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a2567dd770819088eb77ffc6d2d1cf completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a305dff8b88190b82db3adf474b271 completed Feb. 28, 2026, 3:12 p.m.
NEDg Description generation batch_69a309bbb7108190af09feaddee9d00c completed Feb. 28, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69a30a1b9240819088e762ff13df4c32 completed Feb. 28, 2026, 3:30 p.m.
Created at: Feb. 28, 2026, 2:07 a.m.