Triple

T2645717
Position Surface form Disambiguated ID Type / Status
Subject Roxanne E62977 entity
Predicate cinematographyBy P1953 FINISHED
Object Ian Baker
Ian Baker is an Australian cinematographer known for his long-time collaboration with director Fred Schepisi on numerous acclaimed films.
E318433 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: Ian Baker | Statement: [Roxanne, cinematographyBy, Ian Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Baker
Context triple: [Roxanne, cinematographyBy, Ian Baker]
  • A. Alan Baker
    Alan Baker was a British mathematician renowned for his groundbreaking work in number theory, particularly transcendental number theory, for which he received the Fields Medal in 1970.
  • B. Paul Baker
    Paul Baker was an influential American theater director and educator known for pioneering innovative stage techniques and founding major regional theater institutions.
  • C. Thomas Baker
    Thomas Baker was the early American settler and civic leader after whom the city of Bakersfield, California, is named.
  • D. Matthew Baker
    Matthew Baker is a game designer best known for creating the board game "Revenge."
  • E. Richard Baker
    Richard Baker is an American businessman and real estate investor best known as the governor and executive chairman of Hudson’s Bay Company.
  • 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: Ian Baker
Triple: [Roxanne, cinematographyBy, Ian Baker]
Generated description
Ian Baker is an Australian cinematographer known for his long-time collaboration with director Fred Schepisi on numerous acclaimed films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ian Baker
Target entity description: Ian Baker is an Australian cinematographer known for his long-time collaboration with director Fred Schepisi on numerous acclaimed films.
  • A. Alan Baker
    Alan Baker was a British mathematician renowned for his groundbreaking work in number theory, particularly transcendental number theory, for which he received the Fields Medal in 1970.
  • B. Paul Baker
    Paul Baker was an influential American theater director and educator known for pioneering innovative stage techniques and founding major regional theater institutions.
  • C. Thomas Baker
    Thomas Baker was the early American settler and civic leader after whom the city of Bakersfield, California, is named.
  • D. Matthew Baker
    Matthew Baker is a game designer best known for creating the board game "Revenge."
  • E. Richard Baker
    Richard Baker is an American businessman and real estate investor best known as the governor and executive chairman of Hudson’s Bay Company.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd91846b4819093a063c15e1ee6af completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69b12df6ad908190b0b484b6fd82ffb5 completed March 11, 2026, 8:55 a.m.
NEDg Description generation batch_69b12fbbd9588190aa0529e264864199 completed March 11, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_69b1cb6571388190970bae846bfc57a2 completed March 11, 2026, 8:07 p.m.
Created at: March 6, 2026, 9:53 p.m.