Triple

T14397977
Position Surface form Disambiguated ID Type / Status
Subject Carey Mahoney E356999 entity
Predicate hasFriend P8712 FINISHED
Object Douglas Fackler
Douglas Fackler is a bumbling, mild-mannered police cadet character from the "Police Academy" comedy film series.
 E1118672 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: Douglas Fackler | Statement: [Carey Mahoney, hasFriend, Douglas Fackler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Douglas Fackler
Context triple: [Carey Mahoney, hasFriend, Douglas Fackler]
  • A. Michael Glouberman
    Michael Glouberman is a television writer and producer best known for his work on the acclaimed sitcom "Malcolm in the Middle."
  • B. Jeffrey A. Mueller
    Jeffrey A. Mueller is a film producer best known for his work on the horror-comedy movie "Idle Hands."
  • C. David L. Bazelon
    David L. Bazelon was a prominent 20th-century American federal judge known for his influential, often progressive decisions on the U.S. Court of Appeals for the District of Columbia Circuit, particularly in the areas of criminal law and mental health.
  • D. Jeffrey Lieber
    Jeffrey Lieber is an American screenwriter and producer best known for his early role in developing the hit television series "Lost."
  • E. Russell Binder
    Russell Binder is a film and television producer known for his work on projects such as the movie "Part of Me."
  • 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: Douglas Fackler
Triple: [Carey Mahoney, hasFriend, Douglas Fackler]
Generated description
Douglas Fackler is a bumbling, mild-mannered police cadet character from the "Police Academy" comedy film series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Douglas Fackler
Target entity description: Douglas Fackler is a bumbling, mild-mannered police cadet character from the "Police Academy" comedy film series.
  • A. Michael Glouberman
    Michael Glouberman is a television writer and producer best known for his work on the acclaimed sitcom "Malcolm in the Middle."
  • B. Jeffrey A. Mueller
    Jeffrey A. Mueller is a film producer best known for his work on the horror-comedy movie "Idle Hands."
  • C. David L. Bazelon
    David L. Bazelon was a prominent 20th-century American federal judge known for his influential, often progressive decisions on the U.S. Court of Appeals for the District of Columbia Circuit, particularly in the areas of criminal law and mental health.
  • D. Jeffrey Lieber
    Jeffrey Lieber is an American screenwriter and producer best known for his early role in developing the hit television series "Lost."
  • E. Russell Binder
    Russell Binder is a film and television producer known for his work on projects such as the movie "Part of Me."
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9083f9d081908fe5c99655c410b3 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cd3aa20819089c8527faf1ceddd completed May 8, 2026, 4:18 p.m.
NEDg Description generation batch_69fe17d456e08190859ac76ee7e21e8c completed May 8, 2026, 5:05 p.m.
NED2 Entity disambiguation (via description) batch_69fe1836cf688190a3bea0939d2ea920 completed May 8, 2026, 5:07 p.m.
Created at: April 10, 2026, 1:17 a.m.