Triple

T10367665
Position Surface form Disambiguated ID Type / Status
Subject Teachers E244296 entity
Predicate hasMainCharacter P1183 FINISHED
Object Jenny Page
Jenny Page is a central fictional character featured in the story "Teachers."
E860645 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 Page | Statement: [Teachers, hasMainCharacter, Jenny Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenny Page
Context triple: [Teachers, hasMainCharacter, Jenny Page]
  • A. Jenny Rowe
    Jenny Rowe is a British civil servant who served as the first Chief Executive of the Supreme Court of the United Kingdom, overseeing its administrative establishment and early operations.
  • B. Wendy Page
    Wendy Page is a British singer, songwriter, and producer known for her work in pop and rock music, including collaborations with artists such as Peter Andre and Billie Piper.
  • C. Alison Sutcliffe
    Alison Sutcliffe is a British theatre director known for her work with major UK companies and for her former marriage to actor Sir Ben Kingsley.
  • D. Stephanie Mills
    Stephanie Mills is an American R&B and soul singer best known for her powerful vocals and hit songs like "Never Knew Love Like This Before."
  • E. Stephanie Mills
    Stephanie Mills is a fictional young girl who becomes the ward of Archie and Edith Bunker on the classic American sitcom "All in the Family."
  • 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 Page
Triple: [Teachers, hasMainCharacter, Jenny Page]
Generated description
Jenny Page is a central fictional character featured in the story "Teachers."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jenny Page
Target entity description: Jenny Page is a central fictional character featured in the story "Teachers."
  • A. Jenny Rowe
    Jenny Rowe is a British civil servant who served as the first Chief Executive of the Supreme Court of the United Kingdom, overseeing its administrative establishment and early operations.
  • B. Wendy Page
    Wendy Page is a British singer, songwriter, and producer known for her work in pop and rock music, including collaborations with artists such as Peter Andre and Billie Piper.
  • C. Alison Sutcliffe
    Alison Sutcliffe is a British theatre director known for her work with major UK companies and for her former marriage to actor Sir Ben Kingsley.
  • D. Stephanie Mills
    Stephanie Mills is a fictional young girl who becomes the ward of Archie and Edith Bunker on the classic American sitcom "All in the Family."
  • E. Stephanie Mills
    Stephanie Mills is an American R&B and soul singer best known for her powerful vocals and hit songs like "Never Knew Love Like This Before."
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97106448190a075948e63184f47 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79546b078819089dec7628c95a681 completed April 9, 2026, 12:02 p.m.
NEDg Description generation batch_69d7bdde34408190a047ede29b91e182 completed April 9, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69d7e5fc6a008190b2a2326840074b53 completed April 9, 2026, 5:46 p.m.
Created at: April 6, 2026, noon