Triple

T14336445
Position Surface form Disambiguated ID Type / Status
Subject Young Guns E355477 entity
Predicate hasAlbum P1995 FINISHED
Object Ones and Zeros
Ones and Zeros is a studio album by the British alternative rock band Young Guns, known for its melodic hooks and polished, anthemic sound.
E1093000 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: Ones and Zeros | Statement: [Young Guns, hasAlbum, Ones and Zeros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ones and Zeros
Context triple: [Young Guns, hasAlbum, Ones and Zeros]
  • A. Between the Zero and the One
    "Between the Zero and the One" is a song by the American rock band Dawes from their album "Good Luck With Whatever."
  • B. Code to Zero
    Code to Zero is a Cold War-era thriller novel by Ken Follett that follows an amnesiac rocket scientist uncovering a conspiracy tied to the early days of the space race.
  • C. Two Bits
    Two Bits is an animated character voiced by comedian and actor Charles Fleischer.
  • D. De Cifris
    De Cifris is a 15th-century treatise by Leon Battista Alberti that lays foundational principles of cryptography, including the introduction of polyalphabetic substitution.
  • E. Count Zero
    Count Zero is a cyberpunk novel by William Gibson that continues the Sprawl trilogy, exploring artificial intelligence, cyberspace, and corporate power in a near-future dystopia.
  • 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: Ones and Zeros
Triple: [Young Guns, hasAlbum, Ones and Zeros]
Generated description
Ones and Zeros is a studio album by the British alternative rock band Young Guns, known for its melodic hooks and polished, anthemic sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ones and Zeros
Target entity description: Ones and Zeros is a studio album by the British alternative rock band Young Guns, known for its melodic hooks and polished, anthemic sound.
  • A. Between the Zero and the One
    "Between the Zero and the One" is a song by the American rock band Dawes from their album "Good Luck With Whatever."
  • B. Code to Zero
    Code to Zero is a Cold War-era thriller novel by Ken Follett that follows an amnesiac rocket scientist uncovering a conspiracy tied to the early days of the space race.
  • C. Two Bits
    Two Bits is an animated character voiced by comedian and actor Charles Fleischer.
  • D. De Cifris
    De Cifris is a 15th-century treatise by Leon Battista Alberti that lays foundational principles of cryptography, including the introduction of polyalphabetic substitution.
  • E. Count Zero
    Count Zero is a cyberpunk novel by William Gibson that continues the Sprawl trilogy, exploring artificial intelligence, cyberspace, and corporate power in a near-future dystopia.
  • 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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c2241e48190a0c626b3d741966a completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46986758819088750150ad47bae1 completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd47a9b5008190a15de0f427771505 completed May 8, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69fd4828f44c81908903d1391c83cc60 completed May 8, 2026, 2:19 a.m.
Created at: April 10, 2026, 1:14 a.m.