Triple

T21441542
Position Surface form Disambiguated ID Type / Status
Subject Get Nervous E528949 entity
Predicate includesTrack P3284 FINISHED
Object Silent Partner
"Silent Partner" is a song featured on Pat Benatar's 1982 rock album *Get Nervous*.
E1484620 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: Silent Partner | Statement: [Get Nervous, includesTrack, Silent Partner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silent Partner
Context triple: [Get Nervous, includesTrack, Silent Partner]
  • A. Silent Partner
    Silent Partner is a lesser-known work by American science fiction and crime writer Leigh Brackett, showcasing her characteristic blend of sharp dialogue and atmospheric storytelling.
  • B. The Silent Partner
    The Silent Partner is a 1978 Canadian heist thriller film, written by Curtis Hanson and starring Elliott Gould and Christopher Plummer, known for its tense cat-and-mouse plot and clever twists.
  • C. Silent Partners
    "Silent Partners" is a country music song recorded by American singer David Frizzell.
  • D. The Sleeping Partner
    The Sleeping Partner is a stage play by Scottish dramatist James Bridie, known for its witty dialogue and exploration of moral and social themes.
  • E. The Partner
    The Partner is a legal thriller novel by John Grisham that follows a lawyer who fakes his death and steals millions from his firm, only to be hunted down years later.
  • 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: Silent Partner
Triple: [Get Nervous, includesTrack, Silent Partner]
Generated description
"Silent Partner" is a song featured on Pat Benatar's 1982 rock album *Get Nervous*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Silent Partner
Target entity description: "Silent Partner" is a song featured on Pat Benatar's 1982 rock album *Get Nervous*.
  • A. Silent Partner
    Silent Partner is a lesser-known work by American science fiction and crime writer Leigh Brackett, showcasing her characteristic blend of sharp dialogue and atmospheric storytelling.
  • B. The Silent Partner
    The Silent Partner is a 1978 Canadian heist thriller film, written by Curtis Hanson and starring Elliott Gould and Christopher Plummer, known for its tense cat-and-mouse plot and clever twists.
  • C. Silent Partners
    "Silent Partners" is a country music song recorded by American singer David Frizzell.
  • D. The Sleeping Partner
    The Sleeping Partner is a stage play by Scottish dramatist James Bridie, known for its witty dialogue and exploration of moral and social themes.
  • E. The Partner
    The Partner is a legal thriller novel by John Grisham that follows a lawyer who fakes his death and steals millions from his firm, only to be hunted down years later.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b7022a5081908d9ad5058cecb8e5 completed April 22, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c90127ec8190a82c20c4168ad7c3 completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c99200a88190ad13565044dfcac0 completed May 17, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca3c4ec48190829b1bd83b933f53 completed May 17, 2026, 2:01 p.m.
Created at: April 16, 2026, 6:05 p.m.