Triple

T5309929
Position Surface form Disambiguated ID Type / Status
Subject Howard E118997 entity
Predicate hasNotableBearer P458 FINISHED
Object Toni Howard
Toni Howard is an American talent agent and former actress known for representing high-profile film and television clients in Hollywood.
E511233 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: Toni Howard | Statement: [Howard, hasNotableBearer, Toni Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toni Howard
Context triple: [Howard, hasNotableBearer, Toni Howard]
  • A. Kat C. Howard
    Kat C. Howard is the wife of American actor Clint Howard.
  • B. Jennifer Howard
    Jennifer Howard was an American actress and the daughter of playwright Sidney Howard and actress Clare Eames, known for her work on stage and screen in the mid-20th century.
  • C. Julie Powell
    Julie Powell was an American writer and blogger best known for her memoir "Julie & Julia," which chronicled her year-long project of cooking every recipe in Julia Child’s "Mastering the Art of French Cooking."
  • D. Diane Burgdorf
    Diane Burgdorf is the wife of Mark Thatcher, the son of former British Prime Minister Margaret Thatcher.
  • E. Ann Marcus
    Ann Marcus was an American television writer and producer best known for her work on groundbreaking serialized comedies and dramas in the 1970s and 1980s.
  • 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: Toni Howard
Triple: [Howard, hasNotableBearer, Toni Howard]
Generated description
Toni Howard is an American talent agent and former actress known for representing high-profile film and television clients in Hollywood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Toni Howard
Target entity description: Toni Howard is an American talent agent and former actress known for representing high-profile film and television clients in Hollywood.
  • A. Kat C. Howard
    Kat C. Howard is the wife of American actor Clint Howard.
  • B. Jennifer Howard
    Jennifer Howard was an American actress and the daughter of playwright Sidney Howard and actress Clare Eames, known for her work on stage and screen in the mid-20th century.
  • C. Julie Powell
    Julie Powell was an American writer and blogger best known for her memoir "Julie & Julia," which chronicled her year-long project of cooking every recipe in Julia Child’s "Mastering the Art of French Cooking."
  • D. Diane Burgdorf
    Diane Burgdorf is the wife of Mark Thatcher, the son of former British Prime Minister Margaret Thatcher.
  • E. Ann Marcus
    Ann Marcus was an American television writer and producer best known for her work on groundbreaking serialized comedies and dramas in the 1970s and 1980s.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8532c26c819084f5b8de542cd309 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf188988688190b4b08b5e0cda8cf5 completed March 21, 2026, 10:15 p.m.
NEDg Description generation batch_69bf18f90d9081908a47e69e82ed2940 completed March 21, 2026, 10:17 p.m.
NED2 Entity disambiguation (via description) batch_69bf195e7be88190a7655d18471b1662 completed March 21, 2026, 10:19 p.m.
Created at: March 20, 2026, 1:53 p.m.