Triple

T10845439
Position Surface form Disambiguated ID Type / Status
Subject The Silence E255997 entity
Predicate producer P490 FINISHED
Object Scott Lambert
Scott Lambert is a film and television producer known for his work on projects such as the movie "The Silence."
E896506 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: Scott Lambert | Statement: [The Silence, producer, Scott Lambert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scott Lambert
Context triple: [The Silence, producer, Scott Lambert]
  • A. Scott Lambert
    Scott Lambert is a film producer known for his work on acclaimed projects including the psychological drama "Tár."
  • B. Scott Lambert
    Scott Lambert is a film producer known for his work on the drama film "North Country."
  • C. 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.
  • D. John Lambert
    John Lambert was a prominent Parliamentarian general and political figure during the English Civil Wars, noted for his military skill and later role in the republican government.
  • E. John Lambert
    John Lambert was a British Army general of the Napoleonic era, noted for leading British forces in the aftermath of the failed assault at the Battle of New Orleans.
  • 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: Scott Lambert
Triple: [The Silence, producer, Scott Lambert]
Generated description
Scott Lambert is a film and television producer known for his work on projects such as the movie "The Silence."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Scott Lambert
Target entity description: Scott Lambert is a film and television producer known for his work on projects such as the movie "The Silence."
  • A. Scott Lambert
    Scott Lambert is a film producer known for his work on the drama film "North Country."
  • B. Scott Lambert
    Scott Lambert is a film producer known for his work on acclaimed projects including the psychological drama "Tár."
  • C. 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.
  • D. John Lambert
    John Lambert was a prominent Parliamentarian general and political figure during the English Civil Wars, noted for his military skill and later role in the republican government.
  • E. John Lambert
    John Lambert was a British Army general of the Napoleonic era, noted for leading British forces in the aftermath of the failed assault at the Battle of New Orleans.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d750d0155c81908fb55ba6b45db800 completed April 9, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d6c077608190822d66b23866f5eb completed April 18, 2026, 12:56 a.m.
NEDg Description generation batch_69e2ff1ddd2c8190b31f5007f7492a4e completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3260494bc81909e3dd4829697fb72 completed April 18, 2026, 6:34 a.m.
Created at: April 8, 2026, 9:19 p.m.