Triple

T5741916
Position Surface form Disambiguated ID Type / Status
Subject Michael Banks E126634 entity
Predicate hasChild P369 FINISHED
Object John Banks
John Banks is a fictional child character in the Mary Poppins stories and their film adaptations.
 E543113 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: John Banks | Statement: [Michael Banks, hasChild, John Banks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Banks
Context triple: [Michael Banks, hasChild, John Banks]
  • A. David Banks
    David Banks is a music producer known for his work on the album "…Is It Something I Said?".
  • B. Thomas Baker
    Thomas Baker was the early American settler and civic leader after whom the city of Bakersfield, California, is named.
  • C. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • D. Tony Bancroft
    Tony Bancroft is an American animator and film director best known for co-directing Disney’s animated feature "Mulan."
  • E. Stephen Burbank
    Stephen Burbank is a prominent legal scholar and professor known for his expertise in civil procedure and complex litigation at the University of Pennsylvania Law School.
  • 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: John Banks
Triple: [Michael Banks, hasChild, John Banks]
Generated description
John Banks is a fictional child character in the Mary Poppins stories and their film adaptations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Banks
Target entity description: John Banks is a fictional child character in the Mary Poppins stories and their film adaptations.
  • A. David Banks
    David Banks is a music producer known for his work on the album "…Is It Something I Said?".
  • B. Thomas Baker
    Thomas Baker was the early American settler and civic leader after whom the city of Bakersfield, California, is named.
  • C. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • D. Tony Bancroft
    Tony Bancroft is an American animator and film director best known for co-directing Disney’s animated feature "Mulan."
  • E. Stephen Burbank
    Stephen Burbank is a prominent legal scholar and professor known for his expertise in civil procedure and complex litigation at the University of Pennsylvania Law School.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0258382908190af8787feb1e5fbcd completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e1bfe4481908740aa20d55ec8f6 completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c08a2bc1b08190998a7e5eb8d6d6ac completed March 23, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_69c08a85b508819088464b97b6c9bb99 completed March 23, 2026, 12:34 a.m.
Created at: March 22, 2026, 3:48 p.m.