Triple

T4806691
Position Surface form Disambiguated ID Type / Status
Subject John Updike E106964 entity
Predicate notableWork P4 FINISHED
Object Trust Me
Trust Me is a short story collection by American author John Updike that explores themes of family, faith, and middle-class life in contemporary America.
 E472157 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: Trust Me | Statement: [John Updike, notableWork, Trust Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trust Me
Context triple: [John Updike, notableWork, Trust Me]
  • A. Trust Me
    "Trust Me" is a song by the American rock band Culture, recognized as one of their notable works.
  • B. Trust Me
    Trust Me is a British medical thriller television series that follows a nurse who assumes a doctor’s identity, known in part for starring Jodie Whittaker before her role in Doctor Who.
  • C. Trust in Me
    "Trust in Me" is a hypnotic song from Disney's 1967 animated film *The Jungle Book*, performed by the snake Kaa and written by the songwriting duo the Sherman Brothers.
  • D. Trick Me
    "Trick Me" is a 2004 R&B and reggae-influenced single by American singer Kelis, known for its anti-violence message and international chart success.
  • E. They Didn't Believe Me
    "They Didn't Believe Me" is a popular 1914 American song with music by Jerome Kern that became a standard in the early 20th-century repertoire.
  • 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: Trust Me
Triple: [John Updike, notableWork, Trust Me]
Generated description
Trust Me is a short story collection by American author John Updike that explores themes of family, faith, and middle-class life in contemporary America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trust Me
Target entity description: Trust Me is a short story collection by American author John Updike that explores themes of family, faith, and middle-class life in contemporary America.
  • A. Trust Me
    "Trust Me" is a song by the American rock band Culture, recognized as one of their notable works.
  • B. Trust Me
    Trust Me is a British medical thriller television series that follows a nurse who assumes a doctor’s identity, known in part for starring Jodie Whittaker before her role in Doctor Who.
  • C. Trust in Me
    "Trust in Me" is a hypnotic song from Disney's 1967 animated film *The Jungle Book*, performed by the snake Kaa and written by the songwriting duo the Sherman Brothers.
  • D. Trick Me
    "Trick Me" is a 2004 R&B and reggae-influenced single by American singer Kelis, known for its anti-violence message and international chart success.
  • E. They Didn't Believe Me
    "They Didn't Believe Me" is a popular 1914 American song with music by Jerome Kern that became a standard in the early 20th-century repertoire.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c69099c8190956b6df42bb922c8 completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4da2a1808190bd8d0c073e4bad07 completed March 21, 2026, 7:49 a.m.
NEDg Description generation batch_69be4e61a9a8819096e3c4ba7612de85 completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4f0d51ac819097636aaf2429f317 completed March 21, 2026, 7:55 a.m.
Created at: March 20, 2026, 1:23 p.m.