Triple

T8568859
Position Surface form Disambiguated ID Type / Status
Subject Caution E202875 entity
Predicate hasSongwriter P1360 FINISHED
Object Jonathan Rado
Jonathan Rado is an American musician and producer best known as a member of the indie rock band Foxygen and for his work with numerous alternative and rock artists.
 E742354 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: Jonathan Rado | Statement: [Caution, hasSongwriter, Jonathan Rado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jonathan Rado
Context triple: [Caution, hasSongwriter, Jonathan Rado]
  • A. Eric Ladin
    Eric Ladin is an American actor known for his roles in television series such as "Generation Kill," "The Killing," and "Boardwalk Empire."
  • B. Jay Rabinowitz
    Jay Rabinowitz is a film editor known for his work on numerous feature films, including the science-fiction thriller "The Adjustment Bureau."
  • C. Jon Rubinstein
    Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
  • D. Michael Ragen
    Michael Ragen is a cinematographer known for his work on the feature film "Kicks."
  • E. Nathan Juran
    Nathan Juran was an Academy Award–winning art director and later film director known for his work on classic Hollywood productions and science fiction and fantasy films.
  • 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: Jonathan Rado
Triple: [Caution, hasSongwriter, Jonathan Rado]
Generated description
Jonathan Rado is an American musician and producer best known as a member of the indie rock band Foxygen and for his work with numerous alternative and rock artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jonathan Rado
Target entity description: Jonathan Rado is an American musician and producer best known as a member of the indie rock band Foxygen and for his work with numerous alternative and rock artists.
  • A. Eric Ladin
    Eric Ladin is an American actor known for his roles in television series such as "Generation Kill," "The Killing," and "Boardwalk Empire."
  • B. Jay Rabinowitz
    Jay Rabinowitz is a film editor known for his work on numerous feature films, including the science-fiction thriller "The Adjustment Bureau."
  • C. Jon Rubinstein
    Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
  • D. Michael Ragen
    Michael Ragen is a cinematographer known for his work on the feature film "Kicks."
  • E. Nathan Juran
    Nathan Juran was an Academy Award–winning art director and later film director known for his work on classic Hollywood productions and science fiction and fantasy films.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea3f28608190a07be8b324669a12 completed March 31, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce897a958c81909b611fac377e26ca completed April 2, 2026, 3:21 p.m.
NEDg Description generation batch_69ce8a9df47c81909ba9ef8dff1db7b1 completed April 2, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69ce8b48841c8190bcf11aeb25355649 completed April 2, 2026, 3:29 p.m.
Created at: March 30, 2026, 6:21 p.m.