Triple

T9088955
Position Surface form Disambiguated ID Type / Status
Subject David Watkin E217828 entity
Predicate workedOn P3 FINISHED
Object Memories of Me
Memories of Me is a 1988 American comedy-drama film about a man trying to reconnect with his estranged, eccentric father in Hollywood.
 E777574 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: Memories of Me | Statement: [David Watkin, workedOn, Memories of Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Memories of Me
Context triple: [David Watkin, workedOn, Memories of Me]
  • A. Memory of Love
    Memory of Love is a novel by Bessie Breuer that served as the literary basis for the 1939 romantic drama film "In Name Only."
  • B. Living on Memories of You
    "Living on Memories of You" is a country song recorded by Dolly Parton under her Jolene persona, reflecting themes of heartache and lingering love.
  • C. I Remember Me
    "I Remember Me" is the second studio album by American singer and actress Jennifer Hudson, showcasing her powerful R&B and soul vocals.
  • D. Don’t Forget Me
    "Don’t Forget Me" is a song best known for its inclusion in the musical film Bombshell.
  • E. I Will Remember You
    "I Will Remember You" is a popular, emotionally resonant ballad by Sarah McLachlan that became widely known for its use in film, television, and memorial tributes.
  • 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: Memories of Me
Triple: [David Watkin, workedOn, Memories of Me]
Generated description
Memories of Me is a 1988 American comedy-drama film about a man trying to reconnect with his estranged, eccentric father in Hollywood.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Memories of Me
Target entity description: Memories of Me is a 1988 American comedy-drama film about a man trying to reconnect with his estranged, eccentric father in Hollywood.
  • A. Memory of Love
    Memory of Love is a novel by Bessie Breuer that served as the literary basis for the 1939 romantic drama film "In Name Only."
  • B. Living on Memories of You
    "Living on Memories of You" is a country song recorded by Dolly Parton under her Jolene persona, reflecting themes of heartache and lingering love.
  • C. I Remember Me
    "I Remember Me" is the second studio album by American singer and actress Jennifer Hudson, showcasing her powerful R&B and soul vocals.
  • D. Don’t Forget Me
    "Don’t Forget Me" is a song best known for its inclusion in the musical film Bombshell.
  • E. I Will Remember You
    "I Will Remember You" is a popular, emotionally resonant ballad by Sarah McLachlan that became widely known for its use in film, television, and memorial tributes.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9657d48081909e0ae0f1fa8ff599 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017e0d3cc8190b3e92b0a8f18489f completed April 3, 2026, 7:41 p.m.
NEDg Description generation batch_69d01963aac881909a4890948f7b7c1c completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d019f55a6c8190b7065c0dcb5bb1d9 completed April 3, 2026, 7:50 p.m.
Created at: March 30, 2026, 7:14 p.m.