Triple

T14942719
Position Surface form Disambiguated ID Type / Status
Subject Hazel Tyler E372570 entity
Predicate portrayedBy P1507 FINISHED
Object Denise Black
Denise Black is a British actress best known for her roles in television dramas such as Coronation Street and Queer as Folk.
 E1134540 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: Denise Black | Statement: [Hazel Tyler, portrayedBy, Denise Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Denise Black
Context triple: [Hazel Tyler, portrayedBy, Denise Black]
  • A. Denise Richard
    Denise Richard is the mother of Martin Richard, the young boy who was killed in the 2013 Boston Marathon bombing.
  • B. Debra Hill
    Debra Hill was an American film producer and screenwriter best known for co-writing and producing influential horror films such as "Halloween" alongside John Carpenter.
  • C. Suzzanne Douglas
    Suzzanne Douglas was an American actress best known for her work in film and television, including her starring role on the sitcom "The Parent 'Hood."
  • D. Cherise Boothe
    Cherise Boothe is an American actress and voice actress known for her work in film, television, theater, and video games.
  • E. Sydelle Noel
    Sydelle Noel is an American actress and former track athlete best known for her role as Cherry "Junkchain" Bang on the Netflix series GLOW.
  • 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: Denise Black
Triple: [Hazel Tyler, portrayedBy, Denise Black]
Generated description
Denise Black is a British actress best known for her roles in television dramas such as Coronation Street and Queer as Folk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Denise Black
Target entity description: Denise Black is a British actress best known for her roles in television dramas such as Coronation Street and Queer as Folk.
  • A. Denise Richard
    Denise Richard is the mother of Martin Richard, the young boy who was killed in the 2013 Boston Marathon bombing.
  • B. Debra Hill
    Debra Hill was an American film producer and screenwriter best known for co-writing and producing influential horror films such as "Halloween" alongside John Carpenter.
  • C. Suzzanne Douglas
    Suzzanne Douglas was an American actress best known for her work in film and television, including her starring role on the sitcom "The Parent 'Hood."
  • D. Cherise Boothe
    Cherise Boothe is an American actress and voice actress known for her work in film, television, theater, and video games.
  • E. Sydelle Noel
    Sydelle Noel is an American actress and former track athlete best known for her role as Cherry "Junkchain" Bang on the Netflix series GLOW.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68c1df0819084c0cd61b207d398 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5a8b3708190be7c35a05fd08a52 completed May 9, 2026, 3:10 a.m.
NEDg Description generation batch_69fea694090c8190a449725dcdd3a37b completed May 9, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_69fea76e2ff8819099acea30c49bd5ed completed May 9, 2026, 3:18 a.m.
Created at: April 10, 2026, 2:38 a.m.