Triple

T12225513
Position Surface form Disambiguated ID Type / Status
Subject Bewitched E291339 entity
Predicate executiveProducer P7225 FINISHED
Object Harry Ackerman
Harry Ackerman was an influential American television producer known for helping shape classic 1950s and 1960s sitcoms.
E972772 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: Harry Ackerman | Statement: [Bewitched, executiveProducer, Harry Ackerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Ackerman
Context triple: [Bewitched, executiveProducer, Harry Ackerman]
  • A. Harold Hecht
    Harold Hecht was an American film producer and talent agent best known for co-founding Hecht-Hill-Lancaster and producing acclaimed mid-20th-century films such as "Marty."
  • B. Hank Corwin
    Hank Corwin is an acclaimed American film editor known for his impressionistic, nonlinear cutting style on films such as The Tree of Life, The Big Short, and Vice.
  • C. Stanley Beck
    Stanley Beck was an American actor best known for his work in film and television during the mid-20th century.
  • D. Harold G. Kiner
    Harold G. Kiner was a United States Army soldier and Medal of Honor recipient who was killed in action during World War II.
  • E. Robert Komer
    Robert Komer was a U.S. national security official and diplomat who played a key role in directing pacification and counterinsurgency efforts during the Vietnam War.
  • 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: Harry Ackerman
Triple: [Bewitched, executiveProducer, Harry Ackerman]
Generated description
Harry Ackerman was an influential American television producer known for helping shape classic 1950s and 1960s sitcoms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Harry Ackerman
Target entity description: Harry Ackerman was an influential American television producer known for helping shape classic 1950s and 1960s sitcoms.
  • A. Harold Hecht
    Harold Hecht was an American film producer and talent agent best known for co-founding Hecht-Hill-Lancaster and producing acclaimed mid-20th-century films such as "Marty."
  • B. Hank Corwin
    Hank Corwin is an acclaimed American film editor known for his impressionistic, nonlinear cutting style on films such as The Tree of Life, The Big Short, and Vice.
  • C. Stanley Beck
    Stanley Beck was an American actor best known for his work in film and television during the mid-20th century.
  • D. Harold G. Kiner
    Harold G. Kiner was a United States Army soldier and Medal of Honor recipient who was killed in action during World War II.
  • E. Robert Komer
    Robert Komer was a U.S. national security official and diplomat who played a key role in directing pacification and counterinsurgency efforts during the Vietnam War.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca2101c8190955c36704935036a completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa9023881909f8373e02d2cad4b completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f61a13fd1481908a06ca65b276e0e1 completed May 2, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69f61ad2bd0c8190ada37bc1f8ae160f completed May 2, 2026, 3:40 p.m.
Created at: April 8, 2026, 9:51 p.m.