Triple

T16433641
Position Surface form Disambiguated ID Type / Status
Subject Liver Bird sculptures E399128 entity
Predicate hasPart P35 FINISHED
Object Bella
Bella is one of the two iconic Liver Bird statues that sit atop the Royal Liver Building in Liverpool, symbolizing the city and its maritime heritage.
 E1213444 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: Bella | Statement: [Liver Bird sculptures, hasPart, Bella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bella
Context triple: [Liver Bird sculptures, hasPart, Bella]
  • A. Bella
    Bella is the main human protagonist of the Twilight series, known for her introspective nature and complex relationship with the supernatural world.
  • B. Bella
    Bella is a 2006 independent drama film starring Tammy Blanchard that explores themes of love, redemption, and unexpected family.
  • C. Bella
    Bella is the given name of Australian actress Bella Heathcote, known for her roles in film and television.
  • D. Bella
    Bella is a feminine given name commonly used in various cultures, often as a diminutive of names like Isabella or Arabella.
  • E. Bella
    Bella is a character from Quentin Blake’s children’s picture book "Zagazoo," which humorously explores the chaos and transformations of childhood.
  • 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: Bella
Triple: [Liver Bird sculptures, hasPart, Bella]
Generated description
Bella is one of the two iconic Liver Bird statues that sit atop the Royal Liver Building in Liverpool, symbolizing the city and its maritime heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bella
Target entity description: Bella is one of the two iconic Liver Bird statues that sit atop the Royal Liver Building in Liverpool, symbolizing the city and its maritime heritage.
  • A. Bella
    Bella is a feminine given name commonly used in various cultures, often as a diminutive of names like Isabella or Arabella.
  • B. Bella
    Bella is a character from Quentin Blake’s children’s picture book "Zagazoo," which humorously explores the chaos and transformations of childhood.
  • C. Bella
    Bella is a close friend of William Thacker, the fictional London bookseller portrayed by Hugh Grant in the romantic comedy film "Notting Hill."
  • D. Bella
    Bella is the given name of Australian actress Bella Heathcote, known for her roles in film and television.
  • E. Bella
    Bella is the main human protagonist of the Twilight series, known for her introspective nature and complex relationship with the supernatural world.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba01a1c8190b5a4700e2364ae63 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0045872a688190bcab27c6a2b952cd completed May 10, 2026, 8:44 a.m.
NEDg Description generation batch_6a00464f264081908faef31ef15f378a completed May 10, 2026, 8:48 a.m.
NED2 Entity disambiguation (via description) batch_6a004767d1c88190814e83f09383e874 completed May 10, 2026, 8:52 a.m.
Created at: April 10, 2026, 5:10 a.m.