Triple

T9565529
Position Surface form Disambiguated ID Type / Status
Subject First Reformed E230779 entity
Predicate castMember P1668 FINISHED
Object Victoria Hill
Victoria Hill is an Australian actress, writer, and producer known for her work in independent films and television, including a role in the drama film "First Reformed."
E807902 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: Victoria Hill | Statement: [First Reformed, castMember, Victoria Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victoria Hill
Context triple: [First Reformed, castMember, Victoria Hill]
  • A. Victoria Waterfield
    Victoria Waterfield is a Victorian-era companion of the Second Doctor in the long-running British science fiction television series Doctor Who.
  • B. Catherine Hill
    Catherine Hill is a steep, cobbled street in the Somerset town of Frome, known for its independent shops, historic buildings, and role as a focal point of the town’s artisan quarter.
  • C. Elizabeth Hill
    Elizabeth Hill was the wife of acclaimed American film director King Vidor, associated with Hollywood's classic era.
  • D. Sarah Ward
    Sarah Ward is a British producer and the former wife of actor Tom Hardy.
  • E. Rosemary Forsyth
    Rosemary Forsyth is a Canadian-born American actress best known for her roles in 1960s and 1970s films and television dramas.
  • 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: Victoria Hill
Triple: [First Reformed, castMember, Victoria Hill]
Generated description
Victoria Hill is an Australian actress, writer, and producer known for her work in independent films and television, including a role in the drama film "First Reformed."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Victoria Hill
Target entity description: Victoria Hill is an Australian actress, writer, and producer known for her work in independent films and television, including a role in the drama film "First Reformed."
  • A. Victoria Waterfield
    Victoria Waterfield is a Victorian-era companion of the Second Doctor in the long-running British science fiction television series Doctor Who.
  • B. Catherine Hill
    Catherine Hill is a steep, cobbled street in the Somerset town of Frome, known for its independent shops, historic buildings, and role as a focal point of the town’s artisan quarter.
  • C. Elizabeth Hill
    Elizabeth Hill was the wife of acclaimed American film director King Vidor, associated with Hollywood's classic era.
  • D. Sarah Ward
    Sarah Ward is a British producer and the former wife of actor Tom Hardy.
  • E. Rosemary Forsyth
    Rosemary Forsyth is a Canadian-born American actress best known for her roles in 1960s and 1970s films and television dramas.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd996c0a1081908a8356c454e60f74 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152abb0788190ab2e204d9a082ccf completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d15565623c81908112183b65464553 completed April 4, 2026, 6:16 p.m.
NED2 Entity disambiguation (via description) batch_69d1560bbe3481908c98d74d21b33e63 completed April 4, 2026, 6:18 p.m.
Created at: March 30, 2026, 8:04 p.m.