Triple

T9835494
Position Surface form Disambiguated ID Type / Status
Subject Boycott E239089 entity
Predicate director P255 FINISHED
Object Clark Johnson
Clark Johnson is a Canadian-American actor and director known for his work on acclaimed television series such as "The Wire" and "Homicide: Life on the Street."
 E825309 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: Clark Johnson | Statement: [Boycott, director, Clark Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clark Johnson
Context triple: [Boycott, director, Clark Johnson]
  • A. Jack Daugherty
    Jack Daugherty was an American record producer best known for his work with the Carpenters, including producing their breakthrough hit "(They Long to Be) Close to You."
  • B. Cole Palen
    Cole Palen was an American aviation enthusiast and collector best known for creating and operating the Old Rhinebeck Aerodrome, a living museum of vintage aircraft and early aviation history.
  • C. Charles Brust
    Charles Brust was the husband of American film and radio actress Rochelle Hudson.
  • D. Mark Ellam
    Mark Ellam is a cinematographer known for his work on the film "The Take."
  • E. Matt Bondurant
    Matt Bondurant is an American novelist and academic best known for his historical crime novel "The Wettest County in the World," which was adapted into the film "Lawless."
  • 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: Clark Johnson
Triple: [Boycott, director, Clark Johnson]
Generated description
Clark Johnson is a Canadian-American actor and director known for his work on acclaimed television series such as "The Wire" and "Homicide: Life on the Street."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clark Johnson
Target entity description: Clark Johnson is a Canadian-American actor and director known for his work on acclaimed television series such as "The Wire" and "Homicide: Life on the Street."
  • A. Jack Daugherty
    Jack Daugherty was an American record producer best known for his work with the Carpenters, including producing their breakthrough hit "(They Long to Be) Close to You."
  • B. Cole Palen
    Cole Palen was an American aviation enthusiast and collector best known for creating and operating the Old Rhinebeck Aerodrome, a living museum of vintage aircraft and early aviation history.
  • C. Charles Brust
    Charles Brust was the husband of American film and radio actress Rochelle Hudson.
  • D. Mark Ellam
    Mark Ellam is a cinematographer known for his work on the film "The Take."
  • E. Matt Bondurant
    Matt Bondurant is an American novelist and academic best known for his historical crime novel "The Wettest County in the World," which was adapted into the film "Lawless."
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb339aa1c8190901d8e660cef49c5 completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5c8f1a48190a4e7b6cda8ee88d5 completed April 5, 2026, 3:23 a.m.
NEDg Description generation batch_69d1d6a385ac8190b5dd11adfbb7578d completed April 5, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69d1d74e7a148190a9470745bfd7ad42 completed April 5, 2026, 3:30 a.m.
Created at: March 30, 2026, 8:33 p.m.