Triple

T22958854
Position Surface form Disambiguated ID Type / Status
Subject Jenny Hart E570837 entity
Predicate givenName P17 FINISHED
Object Jenny
Jenny is a feminine given name commonly used in English-speaking countries, often as a diminutive of Jennifer.
 E996088 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: Jenny | Statement: [Jenny Hart, givenName, Jenny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jenny
Context triple: [Jenny Hart, givenName, Jenny]
  • A. Jenny
    Jenny is a caring and protective regal blue tang fish who is Dory’s mother in the animated film "Finding Dory."
  • B. Jenny
    Jenny is a central character in Kurt Weill and Bertolt Brecht’s opera "Rise and Fall of the City of Mahagonny," often portrayed as a pragmatic, disillusioned prostitute who embodies the work’s critique of capitalist excess and moral decay.
  • C. Jenny
    Jenny is the main character of the story "Mosquitoes," around whom the narrative and its central events revolve.
  • D. Jenny
    Jenny is the wife of Charlie.
  • E. Jenny
    Jenny is a Welsh Labour politician and Member of the Senedd known for her work on social justice and community issues in Cardiff.
  • 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: Jenny
Triple: [Jenny Hart, givenName, Jenny]
Generated description
Jenny is a feminine given name commonly used in English-speaking countries, often as a diminutive of Jennifer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jenny
Target entity description: Jenny is a feminine given name commonly used in English-speaking countries, often as a diminutive of Jennifer.
  • A. Jenny chosen
    Jenny is a common feminine given name used in English-speaking countries, often as a diminutive of Jennifer.
  • B. Jenny
    Jenny is a character from the traditional Scottish song "Comin' Thro' the Rye," often depicted as a carefree young woman associated with themes of love and rural life.
  • C. Jenny
    Jenny is a fictional character played by American actress Michelle Trachtenberg, known for her roles in film and television.
  • D. Jenny
    Jenny is the wife of Charlie.
  • E. Jenny
    Jenny is the main character of the story "Mosquitoes," around whom the narrative and its central events revolve.
  • F. None of above.

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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f2ce9c8190977f146771816341 completed April 29, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd36baa848190993b0b950373407a completed May 19, 2026, 3:05 a.m.
NEDg Description generation batch_6a0bd49b3cb881909d16aef273e3b6a6 completed May 19, 2026, 3:10 a.m.
NED2 Entity disambiguation (via description) batch_6a0bd4f395b48190b06c8e3cc6134096 completed May 19, 2026, 3:11 a.m.
Created at: April 17, 2026, 3:47 p.m.