Triple

T3495006
Position Surface form Disambiguated ID Type / Status
Subject Pavement E73828 entity
Predicate song P20452 FINISHED
Object Stereo
"Stereo" is an indie rock song by the American band Pavement, known for its offbeat lyrics and inclusion on their 1997 album "Brighten the Corners."
E362305 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: Stereo | Statement: [Pavement, song, Stereo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stereo
Context triple: [Pavement, song, Stereo]
  • A. Binaural
    Binaural is a 2000 studio album by American rock band Pearl Jam, noted for its experimental production and use of binaural recording techniques.
  • B. Dolby Stereo
    Dolby Stereo is a multichannel optical sound system for film that brought high-fidelity, surround-capable audio to movie theaters in the 1970s and 1980s.
  • C. CBC Stereo
    CBC Stereo was the former name of the Canadian Broadcasting Corporation’s national FM radio network now known as CBC Radio 2, which focused on music and cultural programming.
  • D. Mono
    Mono is a Native American language of the Numic branch of the Uto-Aztecan language family, traditionally spoken in parts of California.
  • E. Mono
    Mono is an open-source, cross-platform implementation of Microsoft's .NET framework that enables running .NET applications on multiple operating systems.
  • 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: Stereo
Triple: [Pavement, song, Stereo]
Generated description
"Stereo" is an indie rock song by the American band Pavement, known for its offbeat lyrics and inclusion on their 1997 album "Brighten the Corners."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stereo
Target entity description: "Stereo" is an indie rock song by the American band Pavement, known for its offbeat lyrics and inclusion on their 1997 album "Brighten the Corners."
  • A. Binaural
    Binaural is a 2000 studio album by American rock band Pearl Jam, noted for its experimental production and use of binaural recording techniques.
  • B. Dolby Stereo
    Dolby Stereo is a multichannel optical sound system for film that brought high-fidelity, surround-capable audio to movie theaters in the 1970s and 1980s.
  • C. CBC Stereo
    CBC Stereo was the former name of the Canadian Broadcasting Corporation’s national FM radio network now known as CBC Radio 2, which focused on music and cultural programming.
  • D. Mono
    Mono is a Native American language of the Numic branch of the Uto-Aztecan language family, traditionally spoken in parts of California.
  • E. Mono
    Mono is an open-source, cross-platform implementation of Microsoft's .NET framework that enables running .NET applications on multiple operating systems.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbaebed881909d9cbc9c4c1f138f completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373c5e1248190a4c42805fb9363f0 completed March 13, 2026, 2:17 a.m.
NEDg Description generation batch_69b37442228c8190bc45782becd0642c completed March 13, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_69b374bd5cdc81908a924a9f8b641a8d completed March 13, 2026, 2:21 a.m.
Created at: March 8, 2026, 3:18 p.m.