Triple

T22546899
Position Surface form Disambiguated ID Type / Status
Subject The Ropers E557451 entity
Predicate character P662 FINISHED
Object Jenny
Jenny is a minor character from the sitcom spin-off "The Ropers," which followed the lives of the landlords from "Three's Company."
E1541367 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: [The Ropers, character, Jenny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenny
Context triple: [The Ropers, character, 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 character in Patrick Hamilton's novel "Twenty Thousand Streets Under the Sky," known as a young barmaid whose beauty and elusive affections profoundly affect the protagonist.
  • C. Jenny
    "Jenny" is a song by the American rock band Soul.
  • D. Jenny
    "Jenny" is a narrative poem by Dante Gabriel Rossetti that explores themes of desire, morality, and Victorian attitudes toward prostitution through a reflective monologue addressed to a fallen woman.
  • E. Jenny
    Jenny is a common feminine given name used in English-speaking countries, often as a diminutive of Jennifer.
  • 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: [The Ropers, character, Jenny]
Generated description
Jenny is a minor character from the sitcom spin-off "The Ropers," which followed the lives of the landlords from "Three's Company."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jenny
Target entity description: Jenny is a minor character from the sitcom spin-off "The Ropers," which followed the lives of the landlords from "Three's Company."
  • A. 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.
  • B. Jenny
    "Jenny" is a television series associated with Heather Dubrow, known for featuring her in a prominent role.
  • 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 a central character in the 2004 teen comedy film "EuroTrip," which follows a group of friends on a chaotic adventure across Europe.
  • E. 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.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f366f208190abbc6eb4780b2d48 completed April 29, 2026, 1:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1deccca48190aba8c7913a769101 completed May 18, 2026, 2:10 p.m.
NEDg Description generation batch_6a0b1e9bb68481909945905b369247f0 completed May 18, 2026, 2:13 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1efb36ac8190a4a9c3005ee58d23 completed May 18, 2026, 2:15 p.m.
Created at: April 16, 2026, 8:52 p.m.