Triple

T5265828
Position Surface form Disambiguated ID Type / Status
Subject Journey into Light E118935 entity
Predicate starring P1507 FINISHED
Object John Berkes
John Berkes was an actor known for his role in the film "Journey into Light."
 E511778 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 Berkes | Statement: [Journey into Light, starring, John Berkes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Berkes
Context triple: [Journey into Light, starring, John Berkes]
  • A. David T. Botterell
    David T. Botterell was a prominent Canadian neurosurgeon and academic leader whose contributions to medicine and medical education led to a major university building being named in his honor.
  • B. Kenneth Kimmins
    Kenneth Kimmins is an American character actor best known for his recurring television roles, including his work on the sitcom "Coach."
  • C. John McGowan
    John McGowan was a writer whose work served as the basis for the 1943 musical film "Girl Crazy."
  • D. Kenneth Biller
    Kenneth Biller is an American television writer and producer best known for his work on series such as "Star Trek: Voyager" and the anthology drama "Genius."
  • E. Kenneth Macgowan
    Kenneth Macgowan was an American film and theater producer and critic known for his influential work in early 20th-century cinema and stage production.
  • 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 Berkes
Triple: [Journey into Light, starring, John Berkes]
Generated description
John Berkes was an actor known for his role in the film "Journey into Light."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Berkes
Target entity description: John Berkes was an actor known for his role in the film "Journey into Light."
  • A. David T. Botterell
    David T. Botterell was a prominent Canadian neurosurgeon and academic leader whose contributions to medicine and medical education led to a major university building being named in his honor.
  • B. Kenneth Kimmins
    Kenneth Kimmins is an American character actor best known for his recurring television roles, including his work on the sitcom "Coach."
  • C. John McGowan
    John McGowan was a writer whose work served as the basis for the 1943 musical film "Girl Crazy."
  • D. Kenneth Biller
    Kenneth Biller is an American television writer and producer best known for his work on series such as "Star Trek: Voyager" and the anthology drama "Genius."
  • E. Kenneth Macgowan
    Kenneth Macgowan was an American film and theater producer and critic known for his influential work in early 20th-century cinema and stage production.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bf89ae481908835b711fb2696fd completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf187a1cf881908b45bc32c03d33be completed March 21, 2026, 10:15 p.m.
NEDg Description generation batch_69bf195d26e88190b86c16cd6adc7c5c completed March 21, 2026, 10:19 p.m.
NED2 Entity disambiguation (via description) batch_69bf1a0bbed08190bf21bd99343b90a4 completed March 21, 2026, 10:22 p.m.
Created at: March 20, 2026, 1:51 p.m.