Triple

T10365814
Position Surface form Disambiguated ID Type / Status
Subject Pride and Prejudice (2005 film) E244247 entity
Predicate cinematographyBy P1953 FINISHED
Object Roman Osin
Roman Osin is a cinematographer best known for his visually rich work on films such as the 2005 adaptation of "Pride and Prejudice."
E857390 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: Roman Osin | Statement: [Pride and Prejudice (2005 film), cinematographyBy, Roman Osin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roman Osin
Context triple: [Pride and Prejudice (2005 film), cinematographyBy, Roman Osin]
  • A. Roman Kondratenko
    Roman Kondratenko was a Russian general renowned for his key role in organizing and leading the defense of Port Arthur during the Russo-Japanese War.
  • B. Michael Antonov
    Michael Antonov is a software engineer and entrepreneur best known as a co-founder and early architect of the virtual reality company Oculus VR.
  • C. Oleg Losik
    Oleg Losik was a Soviet military commander known for his leadership role during the Sino–Soviet border conflict of 1969.
  • D. Igor Khoroshev
    Igor Khoroshev is a Russian keyboardist and composer best known for his work with the progressive rock band Yes in the late 1990s.
  • E. Sergei Belov
    Sergei Belov was a legendary Soviet and Russian basketball player widely regarded as one of the greatest European guards in history.
  • 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: Roman Osin
Triple: [Pride and Prejudice (2005 film), cinematographyBy, Roman Osin]
Generated description
Roman Osin is a cinematographer best known for his visually rich work on films such as the 2005 adaptation of "Pride and Prejudice."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roman Osin
Target entity description: Roman Osin is a cinematographer best known for his visually rich work on films such as the 2005 adaptation of "Pride and Prejudice."
  • A. Roman Kondratenko
    Roman Kondratenko was a Russian general renowned for his key role in organizing and leading the defense of Port Arthur during the Russo-Japanese War.
  • B. Michael Antonov
    Michael Antonov is a software engineer and entrepreneur best known as a co-founder and early architect of the virtual reality company Oculus VR.
  • C. Oleg Losik
    Oleg Losik was a Soviet military commander known for his leadership role during the Sino–Soviet border conflict of 1969.
  • D. Igor Khoroshev
    Igor Khoroshev is a Russian keyboardist and composer best known for his work with the progressive rock band Yes in the late 1990s.
  • E. Sergei Belov
    Sergei Belov was a legendary Soviet and Russian basketball player widely regarded as one of the greatest European guards in history.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e96f25f48190a41c8b0206b9238c completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750c8c7588190a31bac5b774155fe completed April 9, 2026, 7:10 a.m.
NEDg Description generation batch_69d751ab890c8190b1549619049dab91 completed April 9, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69d7619e97588190a1443f9438c6efc0 completed April 9, 2026, 8:21 a.m.
Created at: April 6, 2026, noon