Triple

T18442036
Position Surface form Disambiguated ID Type / Status
Subject Jenny Mullion E450551 entity
Predicate hasGivenName 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 Mullion, hasGivenName, Jenny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenny
Context triple: [Jenny Mullion, hasGivenName, Jenny]
  • A. Jenny
    Jenny is the main character of the story "Mosquitoes," around whom the narrative and its central events revolve.
  • B. Jenny
    Jenny is a central fictional character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of broadcast journalists in the 1980s.
  • C. Jenny
    "Jenny" is a French film featuring actress Sylvia Bataille in a significant role.
  • D. Jenny
    Jenny is a caring and protective regal blue tang fish who is Dory’s mother in the animated film "Finding Dory."
  • E. 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.
  • 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 Mullion, hasGivenName, 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 the wife of Charlie.
  • D. Jenny
    Jenny is the main character of the story "Mosquitoes," around whom the narrative and its central events revolve.
  • E. Jenny
    "Jenny" is a pop-rock song by American band The Click Five, known for its catchy melody and themes of unrequited love.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51c11b1288190b9ed4497751197d1 completed April 19, 2026, 6:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fdb4c648190aa56212c3c1e15ce completed May 13, 2026, 5:44 a.m.
NEDg Description generation batch_6a0418c2621481909497c663272f5407 completed May 13, 2026, 6:22 a.m.
NED2 Entity disambiguation (via description) batch_6a041bca3d688190972d5c0d5bba70ed completed May 13, 2026, 6:35 a.m.
Created at: April 10, 2026, 11:30 a.m.