Triple

T8696241
Position Surface form Disambiguated ID Type / Status
Subject Nice As Fuck E206410 entity
Predicate hasSong P20452 FINISHED
Object Guns
"Guns" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically charged themes.
 E750773 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: Guns | Statement: [Nice As Fuck, hasSong, Guns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guns
Context triple: [Nice As Fuck, hasSong, Guns]
  • A. Gun
    "Gun" is a heavy, riff-driven rock track by Soundgarden from their 1989 album *Louder Than Love*.
  • B. Life gun
    A Life gun is a pattern in Conway’s Game of Life that periodically generates an endless stream of moving configurations called gliders.
  • C. Pistol
    Pistol is a braggart, swaggering follower of Falstaff who appears as a comic, bombastic soldier in several of Shakespeare’s plays, including *The Merry Wives of Windsor*.
  • D. Ammo
    Ammo is a music producer and songwriter known for working on pop and electronic tracks for major artists.
  • E. Armas
    Armas is a Finnish given name, notably used as one of the names of the renowned Finnish poet Eino Leino.
  • 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: Guns
Triple: [Nice As Fuck, hasSong, Guns]
Generated description
"Guns" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically charged themes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guns
Target entity description: "Guns" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically charged themes.
  • A. Gun
    "Gun" is a heavy, riff-driven rock track by Soundgarden from their 1989 album *Louder Than Love*.
  • B. Life gun
    A Life gun is a pattern in Conway’s Game of Life that periodically generates an endless stream of moving configurations called gliders.
  • C. Pistol
    Pistol is a braggart, swaggering follower of Falstaff who appears as a comic, bombastic soldier in several of Shakespeare’s plays, including *The Merry Wives of Windsor*.
  • D. Ammo
    Ammo is a music producer and songwriter known for working on pop and electronic tracks for major artists.
  • E. Armas
    Armas is a Finnish given name, notably used as one of the names of the renowned Finnish poet Eino Leino.
  • 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_69ca83555b6c8190abe930dd397e863b completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc582996a0819097ad03097ad1f103 completed March 31, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3fc5a788190a765942fc0b964c9 completed April 2, 2026, 10:55 p.m.
NEDg Description generation batch_69cef52200788190a8173da1aaa4f681 completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef6c109b08190bb29ce2747f3ccb7 completed April 2, 2026, 11:07 p.m.
Created at: March 30, 2026, 6:34 p.m.