Triple

T20558598
Position Surface form Disambiguated ID Type / Status
Subject Penn Badgley E504784 entity
Predicate hasSibling P363 FINISHED
Object Jen Badgley
Jen Badgley is known as the sister of American actor and musician Penn Badgley.
E1448057 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: Jen Badgley | Statement: [Penn Badgley, hasSibling, Jen Badgley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jen Badgley
Context triple: [Penn Badgley, hasSibling, Jen Badgley]
  • A. Nicola Walker
    Nicola Walker is a British actress acclaimed for her nuanced performances in television dramas such as "Unforgotten," "Spooks," and "Last Tango in Halifax."
  • B. Laura Penn
    Laura Penn is known as the spouse of American screenwriter and director Zak Penn.
  • C. Jennifer Dempsie
    Jennifer Dempsie is a Scottish political figure and campaign strategist known for her involvement with the Scottish National Party and work on independence-related campaigns.
  • D. Lia Williams
    Lia Williams is a British actress and director known for her work in film, television, and theatre, including acclaimed performances in productions such as "The Crown" and "The Foreigner."
  • E. Kara Tointon
    Kara Tointon is an English actress best known for her roles in television dramas and soap operas such as EastEnders and for winning the BBC competition Strictly Come Dancing.
  • 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: Jen Badgley
Triple: [Penn Badgley, hasSibling, Jen Badgley]
Generated description
Jen Badgley is known as the sister of American actor and musician Penn Badgley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jen Badgley
Target entity description: Jen Badgley is known as the sister of American actor and musician Penn Badgley.
  • A. Nicola Walker
    Nicola Walker is a British actress acclaimed for her nuanced performances in television dramas such as "Unforgotten," "Spooks," and "Last Tango in Halifax."
  • B. Laura Penn
    Laura Penn is known as the spouse of American screenwriter and director Zak Penn.
  • C. Jennifer Dempsie
    Jennifer Dempsie is a Scottish political figure and campaign strategist known for her involvement with the Scottish National Party and work on independence-related campaigns.
  • D. Lia Williams
    Lia Williams is a British actress and director known for her work in film, television, and theatre, including acclaimed performances in productions such as "The Crown" and "The Foreigner."
  • E. Kara Tointon
    Kara Tointon is an English actress best known for her roles in television dramas and soap operas such as EastEnders and for winning the BBC competition Strictly Come Dancing.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5e178648190910795bae5422e50 completed April 20, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08e8234328819089fdf979d9a41bca completed May 16, 2026, 9:56 p.m.
NEDg Description generation batch_6a08e8df60c88190803590abd75b3e43 completed May 16, 2026, 9:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08e95f05088190b5934f067c5dd7b7 completed May 16, 2026, 10:02 p.m.
Created at: April 16, 2026, 11:38 a.m.