Triple

T5359232
Position Surface form Disambiguated ID Type / Status
Subject John Dillinger E102777 entity
Predicate alias P39 FINISHED
Object John Hall
John Hall is an alias used by the infamous American bank robber and Depression-era outlaw John Dillinger.
 E514888 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 Hall | Statement: [John Dillinger, alias, John Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Hall
Context triple: [John Dillinger, alias, John Hall]
  • A. John Hall
    John Hall was an English physician best known as the son-in-law of William Shakespeare and the former resident of Hall’s Croft in Stratford-upon-Avon.
  • B. Hugh McDowell
    Hugh McDowell was an English cellist best known for his dynamic performances and recordings with the rock band Electric Light Orchestra during the 1970s.
  • C. John Palmer
    John Palmer is a film industry professional known for his work as an assistant director, including on the movie "Empire."
  • D. John Bacon
    John Bacon is a name shared by several notable individuals, including historical figures in politics, religion, and the arts.
  • E. Charles Wood
    Charles Wood was a British playwright and screenwriter known for his sharp, satirical writing and influential work in film, television, and theatre.
  • 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 Hall
Triple: [John Dillinger, alias, John Hall]
Generated description
John Hall is an alias used by the infamous American bank robber and Depression-era outlaw John Dillinger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Hall
Target entity description: John Hall is an alias used by the infamous American bank robber and Depression-era outlaw John Dillinger.
  • A. John Hall
    John Hall was an English physician best known as the son-in-law of William Shakespeare and the former resident of Hall’s Croft in Stratford-upon-Avon.
  • B. Hugh McDowell
    Hugh McDowell was an English cellist best known for his dynamic performances and recordings with the rock band Electric Light Orchestra during the 1970s.
  • C. John Palmer
    John Palmer is a film industry professional known for his work as an assistant director, including on the movie "Empire."
  • D. John Bacon
    John Bacon is a name shared by several notable individuals, including historical figures in politics, religion, and the arts.
  • E. Charles Wood
    Charles Wood was a British playwright and screenwriter known for his sharp, satirical writing and influential work in film, television, and theatre.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86330e4c8190b5452226886287b3 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf291c89c8819084b9305c3bddc3c0 completed March 21, 2026, 11:26 p.m.
NEDg Description generation batch_69bf29ba3e1c8190987f22566a9ec806 completed March 21, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69bf2a489ec88190bbeb628b4903607c completed March 21, 2026, 11:31 p.m.
Created at: March 20, 2026, 2:02 p.m.