Triple

T7072788
Position Surface form Disambiguated ID Type / Status
Subject Archie Bunker's Place E164739 entity
Predicate starring P1507 FINISHED
Object Denise Miller
Denise Miller is an American actress best known for her television work in the late 1970s and early 1980s, including prominent roles in sitcoms.
E639711 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: Denise Miller | Statement: [Archie Bunker's Place, starring, Denise Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denise Miller
Context triple: [Archie Bunker's Place, starring, Denise Miller]
  • A. Gillian Siddall
    Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
  • B. Julie Marsden
    Julie Marsden is the strong-willed, rebellious Southern belle portrayed by Bette Davis in the 1938 film "Jezebel."
  • C. Gillian Slater
    Gillian Slater is best known as the first wife of British television presenter Noel Edmonds, to whom she was married in the 1970s.
  • D. Rosemary Leith
    Rosemary Leith is a Canadian-born entrepreneur and internet governance leader who co-founded the World Wide Web Foundation and serves on various boards related to technology and public policy.
  • E. Gillian Hanna
    Gillian Hanna was a British actress known for her work in film, television, and theatre, particularly in character roles.
  • 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: Denise Miller
Triple: [Archie Bunker's Place, starring, Denise Miller]
Generated description
Denise Miller is an American actress best known for her television work in the late 1970s and early 1980s, including prominent roles in sitcoms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Denise Miller
Target entity description: Denise Miller is an American actress best known for her television work in the late 1970s and early 1980s, including prominent roles in sitcoms.
  • A. Gillian Siddall
    Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
  • B. Julie Marsden
    Julie Marsden is the strong-willed, rebellious Southern belle portrayed by Bette Davis in the 1938 film "Jezebel."
  • C. Gillian Slater
    Gillian Slater is best known as the first wife of British television presenter Noel Edmonds, to whom she was married in the 1970s.
  • D. Rosemary Leith
    Rosemary Leith is a Canadian-born entrepreneur and internet governance leader who co-founded the World Wide Web Foundation and serves on various boards related to technology and public policy.
  • E. Gillian Hanna
    Gillian Hanna was a British actress known for her work in film, television, and theatre, particularly in character roles.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4cb76548190bd98876f8ba925b7 completed March 27, 2026, 8:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7945fdafc81909c265373627af4e8 completed March 28, 2026, 8:42 a.m.
NEDg Description generation batch_69c7950271a48190b6e0c3f307ebdc5a completed March 28, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_69c7957439b8819081fb2721bbd8b65c completed March 28, 2026, 8:46 a.m.
Created at: March 27, 2026, 2:39 p.m.