Triple

T9937193
Position Surface form Disambiguated ID Type / Status
Subject Salt E193987 entity
Predicate character P662 FINISHED
Object Orlov
Orlov is a ruthless and manipulative Russian intelligence officer who serves as the primary antagonist in the action thriller film "Salt."
 E830870 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: Orlov | Statement: [Salt, character, Orlov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orlov
Context triple: [Salt, character, Orlov]
  • A. Orlovsky
    Orlovsky is a surname most notably associated with Peter Orlovsky, the American poet and longtime partner of Beat Generation writer Allen Ginsberg.
  • B. Zubov
    Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
  • C. Shaposhnikov
    Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
  • D. Pozdnyshev
    Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
  • E. Volkov
    Volkov is a character in the science fiction horror film "The Cloverfield Paradox," serving as one of the crew members aboard the space station where the movie’s events unfold.
  • 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: Orlov
Triple: [Salt, character, Orlov]
Generated description
Orlov is a ruthless and manipulative Russian intelligence officer who serves as the primary antagonist in the action thriller film "Salt."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orlov
Target entity description: Orlov is a ruthless and manipulative Russian intelligence officer who serves as the primary antagonist in the action thriller film "Salt."
  • A. Orlovsky
    Orlovsky is a surname most notably associated with Peter Orlovsky, the American poet and longtime partner of Beat Generation writer Allen Ginsberg.
  • B. Zubov
    Zubov is a Russian surname most notably associated with figures such as Hockey Hall of Fame defenseman Sergei Zubov.
  • C. Shaposhnikov
    Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
  • D. Pozdnyshev
    Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
  • E. Volkov
    Volkov is a character in the science fiction horror film "The Cloverfield Paradox," serving as one of the crew members aboard the space station where the movie’s events unfold.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e4e19881909879b394090d6629 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228f259b081909ce8a90ec1adad0d completed April 5, 2026, 9:18 a.m.
NEDg Description generation batch_69d22a78819481908ccff34730464f19 completed April 5, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_69d22b0fea588190a4928c361c2367ca completed April 5, 2026, 9:27 a.m.
Created at: March 30, 2026, 8:44 p.m.