Triple

T10682432
Position Surface form Disambiguated ID Type / Status
Subject Off the Map E251790 entity
Predicate creator P184 FINISHED
Object Jenna Bans
Jenna Bans is an American television writer and producer best known for creating and executive producing series such as "Good Girls" and for her work on shows like "Grey's Anatomy" and "Scandal."
E880079 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: Jenna Bans | Statement: [Off the Map, creator, Jenna Bans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenna Bans
Context triple: [Off the Map, creator, Jenna Bans]
  • A. Jenna York
    Jenna York is a member of the York family, known for their ownership and leadership of the NFL’s San Francisco 49ers franchise.
  • B. Jenna Lazenby
    Jenna Lazenby is the daughter of Australian actor and former James Bond star George Lazenby.
  • C. Jenna Ward
    Jenna Ward is the sister of American actress Sela Ward, who is known for her work in film and television.
  • D. Jenna
    Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
  • E. Jenna McMahon
    Jenna McMahon was an American television writer and producer best known for co-creating popular sitcoms such as "The Facts of Life" and "Mama's 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: Jenna Bans
Triple: [Off the Map, creator, Jenna Bans]
Generated description
Jenna Bans is an American television writer and producer best known for creating and executive producing series such as "Good Girls" and for her work on shows like "Grey's Anatomy" and "Scandal."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jenna Bans
Target entity description: Jenna Bans is an American television writer and producer best known for creating and executive producing series such as "Good Girls" and for her work on shows like "Grey's Anatomy" and "Scandal."
  • A. Jenna York
    Jenna York is a member of the York family, known for their ownership and leadership of the NFL’s San Francisco 49ers franchise.
  • B. Jenna Lazenby
    Jenna Lazenby is the daughter of Australian actor and former James Bond star George Lazenby.
  • C. Jenna Ward
    Jenna Ward is the sister of American actress Sela Ward, who is known for her work in film and television.
  • D. Jenna
    Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
  • E. Jenna McMahon
    Jenna McMahon was an American television writer and producer best known for co-creating popular sitcoms such as "The Facts of Life" and "Mama's Family."
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc30be481909922844b539b622d completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998c6fb4881908a8e13912c405ec8 completed April 11, 2026, 12:41 a.m.
NEDg Description generation batch_69d99e8312188190bec3090f34a7b9b9 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69d99f50e0888190b8e7b2547e1526af completed April 11, 2026, 1:09 a.m.
Created at: April 8, 2026, 9:10 p.m.