Triple

T12504033
Position Surface form Disambiguated ID Type / Status
Subject The Death of Stalin E298899 entity
Predicate editor P1954 FINISHED
Object Peter Lambert
Peter Lambert is a film editor best known for his work on the satirical political comedy "The Death of Stalin."
 E987402 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: Peter Lambert | Statement: [The Death of Stalin, editor, Peter Lambert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Lambert
Context triple: [The Death of Stalin, editor, Peter Lambert]
  • A. Gary Lambert
    Gary Lambert is a central figure in Jonathan Franzen's novel "The Corrections," portrayed as an anxious, financially driven Midwestern son struggling with family expectations and personal dissatisfaction.
  • B. Scott Lambert
    Scott Lambert is a film producer known for his work on the drama film "North Country."
  • C. Scott Lambert
    Scott Lambert is a film and television producer known for his work on projects such as the movie "The Silence."
  • D. Scott Lambert
    Scott Lambert is a film producer known for his work on acclaimed projects including the psychological drama "Tár."
  • E. Paul Lambert
    Paul Lambert is a Scottish former professional footballer and manager best known for his successful spells in charge of clubs such as Norwich City and Aston Villa in English football.
  • 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: Peter Lambert
Triple: [The Death of Stalin, editor, Peter Lambert]
Generated description
Peter Lambert is a film editor best known for his work on the satirical political comedy "The Death of Stalin."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Lambert
Target entity description: Peter Lambert is a film editor best known for his work on the satirical political comedy "The Death of Stalin."
  • A. Gary Lambert
    Gary Lambert is a central figure in Jonathan Franzen's novel "The Corrections," portrayed as an anxious, financially driven Midwestern son struggling with family expectations and personal dissatisfaction.
  • B. Scott Lambert
    Scott Lambert is a film producer known for his work on the drama film "North Country."
  • C. Scott Lambert
    Scott Lambert is a film and television producer known for his work on projects such as the movie "The Silence."
  • D. Scott Lambert
    Scott Lambert is a film producer known for his work on acclaimed projects including the psychological drama "Tár."
  • E. Paul Lambert
    Paul Lambert is a Scottish former professional footballer and manager best known for his successful spells in charge of clubs such as Norwich City and Aston Villa in English football.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfcea188190a929db1aabe1a286 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb5af708190b3786da334c3bf23 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64ce0ca288190bbbcb5459f914c19 completed May 2, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f64df6488481909dea8387e7000d15 completed May 2, 2026, 7:18 p.m.
Created at: April 8, 2026, 9:57 p.m.