Triple

T8905226
Position Surface form Disambiguated ID Type / Status
Subject I'm Worried E212038 entity
Predicate prequel P1961 FINISHED
Object I'm Sad
"I'm Sad" is a follow-up work in the "I'm" series, likely continuing its introspective, emotionally focused storytelling from the earlier "I'm Worried."
E766340 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: I'm Sad | Statement: [I'm Worried, prequel, I'm Sad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I'm Sad
Context triple: [I'm Worried, prequel, I'm Sad]
  • A. So Sad the Song
    "So Sad the Song" is a soulful ballad best known from Gladys Knight & the Pips’ 1976 recording, showcasing Gerry Goffin’s emotive songwriting.
  • B. Sad with What I Have
    "Sad with What I Have" is a melancholic piano-driven song by Rufus Wainwright that appears on his introspective album *All Days Are Nights: Songs for Lulu*.
  • C. I’m Down
    "I’m Down" is a song featured on Aerosmith’s 1987 hard rock album "Permanent Vacation."
  • D. Sad-Faced Boy
    Sad-Faced Boy is a children's book by Harlem Renaissance writer Arna Bontemps that portrays the experiences and emotions of an African American boy growing up in the early 20th century.
  • E. No Sad Songs for Me
    No Sad Songs for Me is a 1950 American drama film centered on a terminally ill woman preparing her family for life after her death.
  • 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: I'm Sad
Triple: [I'm Worried, prequel, I'm Sad]
Generated description
"I'm Sad" is a follow-up work in the "I'm" series, likely continuing its introspective, emotionally focused storytelling from the earlier "I'm Worried."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: I'm Sad
Target entity description: "I'm Sad" is a follow-up work in the "I'm" series, likely continuing its introspective, emotionally focused storytelling from the earlier "I'm Worried."
  • A. So Sad the Song
    "So Sad the Song" is a soulful ballad best known from Gladys Knight & the Pips’ 1976 recording, showcasing Gerry Goffin’s emotive songwriting.
  • B. Sad with What I Have
    "Sad with What I Have" is a melancholic piano-driven song by Rufus Wainwright that appears on his introspective album *All Days Are Nights: Songs for Lulu*.
  • C. I’m Down
    "I’m Down" is a song featured on Aerosmith’s 1987 hard rock album "Permanent Vacation."
  • D. Sad-Faced Boy
    Sad-Faced Boy is a children's book by Harlem Renaissance writer Arna Bontemps that portrays the experiences and emotions of an African American boy growing up in the early 20th century.
  • E. No Sad Songs for Me
    No Sad Songs for Me is a 1950 American drama film centered on a terminally ill woman preparing her family for life after her death.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64c3d83081909f181bfd601eaf99 completed April 1, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba2cb5e48190813e9c08198149b0 completed April 3, 2026, 1:01 p.m.
NEDg Description generation batch_69cfbaf8aa4c8190821ace3f0f53a9b3 completed April 3, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfbb9585688190b3aa3d817bafba51 completed April 3, 2026, 1:07 p.m.
Created at: March 30, 2026, 6:55 p.m.