Triple

T2091950
Position Surface form Disambiguated ID Type / Status
Subject Amanda Seyfried E32689 entity
Predicate notableWork P4 FINISHED
Object Dear John
Dear John is a romantic drama film based on Nicholas Sparks' novel, following the relationship between a soldier and a young woman whose love is tested by distance and time.
 E230776 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: Dear John | Statement: [Amanda Seyfried, notableWork, Dear John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dear John
Context triple: [Amanda Seyfried, notableWork, Dear John]
  • A. Dear Boy
    "Dear Boy" is a song by the Indian musician Ram.
  • B. Confidante
    "Confidante" is a song by Paul McCartney from his 2018 studio album *Egypt Station*, noted for its intimate, acoustic style and reflective lyrics.
  • C. Yes, Dear
    Yes, Dear is an American sitcom that aired in the early 2000s, focusing on the comedic clashes between two couples with contrasting parenting styles.
  • D. Sincerely, Me
    "Sincerely, Me" is a comedic, upbeat song from the Broadway musical *Dear Evan Hansen* that features characters fabricating cheerful emails to cover up uncomfortable truths.
  • E. The Letter
    The Letter is a 1940 film noir drama starring Bette Davis as a woman accused of murder in colonial Malaya, renowned for her powerful performance and the film’s tense, atmospheric storytelling.
  • 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: Dear John
Triple: [Amanda Seyfried, notableWork, Dear John]
Generated description
Dear John is a romantic drama film based on Nicholas Sparks' novel, following the relationship between a soldier and a young woman whose love is tested by distance and time.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dear John
Target entity description: Dear John is a romantic drama film based on Nicholas Sparks' novel, following the relationship between a soldier and a young woman whose love is tested by distance and time.
  • A. Dear Boy
    "Dear Boy" is a song by the Indian musician Ram.
  • B. Confidante
    "Confidante" is a song by Paul McCartney from his 2018 studio album *Egypt Station*, noted for its intimate, acoustic style and reflective lyrics.
  • C. Yes, Dear
    Yes, Dear is an American sitcom that aired in the early 2000s, focusing on the comedic clashes between two couples with contrasting parenting styles.
  • D. Sincerely, Me
    "Sincerely, Me" is a comedic, upbeat song from the Broadway musical *Dear Evan Hansen* that features characters fabricating cheerful emails to cover up uncomfortable truths.
  • E. The Letter
    The Letter is a 1940 film noir drama starring Bette Davis as a woman accused of murder in colonial Malaya, renowned for her powerful performance and the film’s tense, atmospheric storytelling.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba7626d081908c9c0f18942e128d completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2746fb3481909e0b7fdbd4748245 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae2868815881908d6163ab84060ec2 completed March 9, 2026, 1:54 a.m.
NED2 Entity disambiguation (via description) batch_69ae28ce87c8819097e0b5dab045d9a1 completed March 9, 2026, 1:56 a.m.
Created at: March 4, 2026, 7:43 p.m.