Triple

T12889688
Position Surface form Disambiguated ID Type / Status
Subject Eleanor Bron E308324 entity
Predicate familyName P18 FINISHED
Object Bron
Bron is a British actress and writer known for her work in film, television, and radio since the 1960s.
 E1009258 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: Bron | Statement: [Eleanor Bron, familyName, Bron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bron
Context triple: [Eleanor Bron, familyName, Bron]
  • A. Bron
    Bron is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
  • B. Brun
    Brun is a given name and surname of Germanic origin, closely related to and often used as a variant of Bruno.
  • C. Brandon
    Brandon is a small city in eastern South Dakota that functions largely as a residential and commercial suburb of nearby Sioux Falls.
  • D. Brandon
    Brandon is a town in Suffolk, England, known for its location on the Breckland railway line and its surrounding Breckland heathland and forestry.
  • E. Brandon
    Brandon is a small historic town in Rutland County, Vermont, known for its classic New England charm and village center.
  • 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: Bron
Triple: [Eleanor Bron, familyName, Bron]
Generated description
Bron is a British actress and writer known for her work in film, television, and radio since the 1960s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bron
Target entity description: Bron is a British actress and writer known for her work in film, television, and radio since the 1960s.
  • A. Bron
    Bron is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
  • B. Brun
    Brun is a given name and surname of Germanic origin, closely related to and often used as a variant of Bruno.
  • C. Brandon
    Brandon is a small city in eastern South Dakota that functions largely as a residential and commercial suburb of nearby Sioux Falls.
  • D. Brandon
    Brandon is a town in Suffolk, England, known for its location on the Breckland railway line and its surrounding Breckland heathland and forestry.
  • E. Brandon
    Brandon is a small historic town in Rutland County, Vermont, known for its classic New England charm and village center.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714581988190afc720ffd7797860 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5598ad08190bad57ccfb4e4e2b6 completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a62ca8b48190b3a1483801fe5bb9 completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a82cdf648190aaad99d2951f22b3 completed May 3, 2026, 1:43 a.m.
Created at: April 9, 2026, 5:39 p.m.