Triple

T12005667
Position Surface form Disambiguated ID Type / Status
Subject Steel Wheels E285772 entity
Predicate hasPart P35 FINISHED
Object Sad Sad Sad
"Sad Sad Sad" is a song by The Rolling Stones from their 1989 album *Steel Wheels*.
E960234 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: Sad Sad Sad | Statement: [Steel Wheels, hasPart, Sad Sad Sad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sad Sad Sad
Context triple: [Steel Wheels, hasPart, Sad Sad Sad]
  • A. 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."
  • B. 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.
  • C. 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.
  • D. Another Sad Love Song
    "Another Sad Love Song" is a 1993 R&B ballad by Toni Braxton that became one of her breakthrough hits, showcasing her rich contralto voice and emotive style.
  • 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: Sad Sad Sad
Triple: [Steel Wheels, hasPart, Sad Sad Sad]
Generated description
"Sad Sad Sad" is a song by The Rolling Stones from their 1989 album *Steel Wheels*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sad Sad Sad
Target entity description: "Sad Sad Sad" is a song by The Rolling Stones from their 1989 album *Steel Wheels*.
  • A. 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."
  • B. 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.
  • C. 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.
  • D. Another Sad Love Song
    "Another Sad Love Song" is a 1993 R&B ballad by Toni Braxton that became one of her breakthrough hits, showcasing her rich contralto voice and emotive style.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c5cfc08190821e4b2940c51416 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b0574d48190b336a6b9a4ada2a8 completed May 1, 2026, 11:14 a.m.
NEDg Description generation batch_69f48fc3baac8190af87b55164f00b26 completed May 1, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_69f495ab52788190a886f7014267f8e2 completed May 1, 2026, 11:59 a.m.
Created at: April 8, 2026, 9:46 p.m.