Triple

T21956635
Position Surface form Disambiguated ID Type / Status
Subject Lara Bingle E542203 entity
Predicate notableWork P4 FINISHED
Object Being Lara Bingle
Being Lara Bingle is an Australian reality television series that follows model and media personality Lara Bingle’s personal and professional life.
E542203 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: Being Lara Bingle | Statement: [Lara Bingle, notableWork, Being Lara Bingle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Being Lara Bingle
Context triple: [Lara Bingle, notableWork, Being Lara Bingle]
  • A. Lara Bingle
    Lara Bingle is an Australian model, media personality, and entrepreneur best known for her high-profile advertising campaigns and reality television appearances.
  • B. Cilla
    Cilla is a character in Toni Morrison’s opera "Margaret Garner," which dramatizes the true story of an enslaved woman’s desperate bid for freedom in pre–Civil War America.
  • C. Cilla
    Cilla is a feminine given name, commonly used as a diminutive form of Priscilla.
  • D. 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.
  • E. Liza Tarbuck
    Liza Tarbuck is an English actress, television and radio presenter known for her work across British entertainment, including hosting popular quiz and variety shows.
  • 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: Being Lara Bingle
Triple: [Lara Bingle, notableWork, Being Lara Bingle]
Generated description
Being Lara Bingle is an Australian reality television series that follows model and media personality Lara Bingle’s personal and professional life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Being Lara Bingle
Target entity description: Being Lara Bingle is an Australian reality television series that follows model and media personality Lara Bingle’s personal and professional life.
  • A. Lara Bingle chosen
    Lara Bingle is an Australian model, media personality, and entrepreneur best known for her high-profile advertising campaigns and reality television appearances.
  • B. Cilla
    Cilla is a character in Toni Morrison’s opera "Margaret Garner," which dramatizes the true story of an enslaved woman’s desperate bid for freedom in pre–Civil War America.
  • C. Cilla
    Cilla is a feminine given name, commonly used as a diminutive form of Priscilla.
  • D. 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.
  • E. Liza Tarbuck
    Liza Tarbuck is an English actress, television and radio presenter known for her work across British entertainment, including hosting popular quiz and variety shows.
  • F. None of above.

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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124404f38819080bae736a52a51cd completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a67082ee08190a791c5307d25a1a2 completed May 18, 2026, 1:10 a.m.
NEDg Description generation batch_6a0a67910f0081908d3d4771be0fb167 completed May 18, 2026, 1:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0a68038d148190a9b2811f23fa802e completed May 18, 2026, 1:14 a.m.
Created at: April 16, 2026, 7:59 p.m.