Triple

T12234139
Position Surface form Disambiguated ID Type / Status
Subject Hardline E291548 entity
Predicate notableSong P4 FINISHED
Object Everything
"Everything" is a song by the American punk rock band Hardline, recognized as one of their standout tracks.
 E971934 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: Everything | Statement: [Hardline, notableSong, Everything]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Everything
Context triple: [Hardline, notableSong, Everything]
  • A. ALL
    ALL is the stock ticker symbol for Allstate Corporation, a major U.S. insurance company known primarily for its auto and home insurance products.
  • B. Everything Else
    "Everything Else" is a song performed by Natalie Goodman, likely known within her body of musical work.
  • C. Something
    "Something" is a widely acclaimed love song by George Harrison, featured on the Beatles' 1969 album Abbey Road and regarded as one of his finest compositions.
  • D. TUDO
    TUDO is the commonly used abbreviation for TU Dortmund University, a technical university in Dortmund, Germany known for its engineering, natural sciences, and computer science programs.
  • E. People, Places and Things
    People, Places and Things is a critically acclaimed stage play by Duncan Macmillan that explores addiction and identity through the experiences of an actress undergoing rehab.
  • 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: Everything
Triple: [Hardline, notableSong, Everything]
Generated description
"Everything" is a song by the American punk rock band Hardline, recognized as one of their standout tracks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Everything
Target entity description: "Everything" is a song by the American punk rock band Hardline, recognized as one of their standout tracks.
  • A. ALL
    ALL is the stock ticker symbol for Allstate Corporation, a major U.S. insurance company known primarily for its auto and home insurance products.
  • B. Everything Else
    "Everything Else" is a song performed by Natalie Goodman, likely known within her body of musical work.
  • C. Something
    "Something" is a widely acclaimed love song by George Harrison, featured on the Beatles' 1969 album Abbey Road and regarded as one of his finest compositions.
  • D. TUDO
    TUDO is the commonly used abbreviation for TU Dortmund University, a technical university in Dortmund, Germany known for its engineering, natural sciences, and computer science programs.
  • E. People, Places and Things
    People, Places and Things is a critically acclaimed stage play by Duncan Macmillan that explores addiction and identity through the experiences of an actress undergoing rehab.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca5a06481908c7c6b715b9f6713 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aaf7b348190865a6a1b6de51753 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60f2154c8819081f9cf6f51e5255b completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60fe8c2ec8190af7c69dd17ea75fe completed May 2, 2026, 2:53 p.m.
Created at: April 8, 2026, 9:51 p.m.