Triple

T12666945
Position Surface form Disambiguated ID Type / Status
Subject Jenny Lumet E302576 entity
Predicate givenName P17 FINISHED
Object Jenny
Jenny is a common feminine given name 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 Lumet, givenName, Jenny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jenny
Context triple: [Jenny Lumet, 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 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.
  • 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 Lumet, givenName, Jenny]
Generated description
Jenny is a common feminine given name 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 common feminine given name used in English-speaking countries, often as a diminutive of Jennifer.
  • A. 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.
  • B. Jenny
    Jenny is the wife of Charlie.
  • C. Jenny
    Jenny is the main character of the story "Mosquitoes," around whom the narrative and its central events revolve.
  • D. Jenny
    "Jenny" is a television series associated with Heather Dubrow, known for featuring her in a prominent role.
  • E. Jenny
    Jenny is a caring and protective regal blue tang fish who is Dory’s mother in the animated film "Finding Dory."
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96181c40481908f3e2717f5472b85 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688a19148190b8d252d3706d2b05 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f669f746188190b6a86c6aac622701 completed May 2, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_69f66b18e68881908bf79ab52bcc909e completed May 2, 2026, 9:22 p.m.
Created at: April 9, 2026, 5:20 p.m.