Triple

T3477048
Position Surface form Disambiguated ID Type / Status
Subject Surf E73398 entity
Predicate hasTrack P3284 FINISHED
Object Go
"Go" is a surf rock song, likely characterized by upbeat rhythms and guitar-driven melodies typical of the genre.
 E361481 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: Go | Statement: [Surf, hasTrack, Go]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Go
Context triple: [Surf, hasTrack, Go]
  • A. Go
    Go is an ancient East Asian abstract strategy board game, renowned for its simple rules yet immense strategic depth, played on a grid with black and white stones.
  • B. Go
    Go is a statically typed, compiled programming language developed at Google, known for its simplicity, efficient concurrency support, and suitability for scalable networked and cloud services.
  • C. go90
    go90 was a now-defunct American mobile video streaming service owned by Verizon that offered live and on-demand sports, entertainment, and original programming.
  • D. gc (Go compiler)
    gc is the original standard Go compiler implementation, written in C and later superseded by the Go-based `cmd/compile` toolchain.
  • E. Go8
    Go8 is a coalition of Australia’s leading research-intensive universities known for their strong academic reputation and significant contribution to higher education and research.
  • 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: Go
Triple: [Surf, hasTrack, Go]
Generated description
"Go" is a surf rock song, likely characterized by upbeat rhythms and guitar-driven melodies typical of the genre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Go
Target entity description: "Go" is a surf rock song, likely characterized by upbeat rhythms and guitar-driven melodies typical of the genre.
  • A. Go
    Go is a statically typed, compiled programming language developed at Google, known for its simplicity, efficient concurrency support, and suitability for scalable networked and cloud services.
  • B. Go
    Go is an ancient East Asian abstract strategy board game, renowned for its simple rules yet immense strategic depth, played on a grid with black and white stones.
  • C. go90
    go90 was a now-defunct American mobile video streaming service owned by Verizon that offered live and on-demand sports, entertainment, and original programming.
  • D. gc (Go compiler)
    gc is the original standard Go compiler implementation, written in C and later superseded by the Go-based `cmd/compile` toolchain.
  • E. Go8
    Go8 is a coalition of Australia’s leading research-intensive universities known for their strong academic reputation and significant contribution to higher education and research.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb5a5cb88190be5624ae224e4c91 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681822488190a9876a21236f9aa3 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368b4e504819094ca0adbdbe7bfd9 completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3693a8d6481909dadce4ac6109ff3 completed March 13, 2026, 1:32 a.m.
Created at: March 8, 2026, 3:17 p.m.