Triple

T15594771
Position Surface form Disambiguated ID Type / Status
Subject Simple Things E374859 entity
Predicate hasTrack P3284 FINISHED
Object Distractions
"Distractions" is a song by the band Simple Things, likely featuring their characteristic style and themes.
 E1166709 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: Distractions | Statement: [Simple Things, hasTrack, Distractions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Distractions
Context triple: [Simple Things, hasTrack, Distractions]
  • A. Distraction
    Distraction is a British television game show, hosted by comedian Jimmy Carr, in which contestants answer quiz questions while enduring bizarre and often painful distractions.
  • B. Distraction
    Distraction is a satirical science fiction novel by Bruce Sterling that explores political chaos, media manipulation, and technological change in a near-future America.
  • C. Distraction
    "Distraction" is an R&B single by American singer Kehlani, known for its smooth production and lyrics about wanting a casual yet emotionally engaging relationship.
  • D. Disturbance
    "Disturbance" is a song featured on Davido's 2019 Afrobeats album *A Good Time*.
  • E. Diversion
    Diversion is a short story by James Dearden that served as the basis for the 1987 psychological thriller film Fatal Attraction.
  • 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: Distractions
Triple: [Simple Things, hasTrack, Distractions]
Generated description
"Distractions" is a song by the band Simple Things, likely featuring their characteristic style and themes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Distractions
Target entity description: "Distractions" is a song by the band Simple Things, likely featuring their characteristic style and themes.
  • A. Distraction
    Distraction is a satirical science fiction novel by Bruce Sterling that explores political chaos, media manipulation, and technological change in a near-future America.
  • B. Distraction
    "Distraction" is an R&B single by American singer Kehlani, known for its smooth production and lyrics about wanting a casual yet emotionally engaging relationship.
  • C. Distraction
    Distraction is a British television game show, hosted by comedian Jimmy Carr, in which contestants answer quiz questions while enduring bizarre and often painful distractions.
  • D. Disturbance
    "Disturbance" is a song featured on Davido's 2019 Afrobeats album *A Good Time*.
  • E. Diversion
    Diversion is a short story by James Dearden that served as the basis for the 1987 psychological thriller film Fatal Attraction.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5f9db8819083abf80f01f32b3d completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c7db58819089cb488fb3ea96cd completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff58687e4c8190a4054c4d5419a76a completed May 9, 2026, 3:53 p.m.
NED2 Entity disambiguation (via description) batch_69ff58d92218819085877be120fdcc01 completed May 9, 2026, 3:55 p.m.
Created at: April 10, 2026, 4:12 a.m.