Triple

T7604529
Position Surface form Disambiguated ID Type / Status
Subject Bradford Dillman E180066 entity
Predicate familyName P18 FINISHED
Object Dillman
Dillman is a surname most notably associated with American actor Bradford Dillman, known for his work in film, television, and theater in the mid-20th century.
 E676162 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: Dillman | Statement: [Bradford Dillman, familyName, Dillman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dillman
Context triple: [Bradford Dillman, familyName, Dillman]
  • A. Doc Golightly
    Doc Golightly is a character in Truman Capote's "Breakfast at Tiffany's," known as the older Texan veterinarian who was once married to Holly Golightly and reveals her past.
  • B. John Ginty
    John Ginty is an American keyboardist and organist known for his work in rock and jam bands, including as a member of the Tom Tom Club.
  • C. Gil Doud
    Gil Doud was an American screenwriter best known for his work on mid-20th-century Hollywood films, particularly war and action dramas.
  • D. Hedison
    Hedison is a surname most notably associated with American photographer and director Alexandra Hedison and her family.
  • E. John Norville
    John Norville is a screenwriter best known for co-writing the story for Disney's adventure film "Jungle Cruise."
  • 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: Dillman
Triple: [Bradford Dillman, familyName, Dillman]
Generated description
Dillman is a surname most notably associated with American actor Bradford Dillman, known for his work in film, television, and theater in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dillman
Target entity description: Dillman is a surname most notably associated with American actor Bradford Dillman, known for his work in film, television, and theater in the mid-20th century.
  • A. Doc Golightly
    Doc Golightly is a character in Truman Capote's "Breakfast at Tiffany's," known as the older Texan veterinarian who was once married to Holly Golightly and reveals her past.
  • B. John Ginty
    John Ginty is an American keyboardist and organist known for his work in rock and jam bands, including as a member of the Tom Tom Club.
  • C. Gil Doud
    Gil Doud was an American screenwriter best known for his work on mid-20th-century Hollywood films, particularly war and action dramas.
  • D. Hedison
    Hedison is a surname most notably associated with American photographer and director Alexandra Hedison and her family.
  • E. John Norville
    John Norville is a screenwriter best known for co-writing the story for Disney's adventure film "Jungle Cruise."
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9fbd1408190b721bf016f997c7b completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8684f3cf08190bc3cbafbd8c1b9a0 completed March 28, 2026, 11:46 p.m.
NEDg Description generation batch_69c86935488c8190854173b940a3e4bd completed March 28, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_69c869b673c081908f2bb2eb59c2dec8 completed March 28, 2026, 11:52 p.m.
Created at: March 27, 2026, 3:54 p.m.