Triple

T14624162
Position Surface form Disambiguated ID Type / Status
Subject The Answers E343301 entity
Predicate hasPart P35 FINISHED
Object “Sway”
“Sway” is a song by The Answers, an Irish rock band known for their energetic, blues-influenced sound.
E1114025 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: “Sway” | Statement: [The Answers, hasPart, “Sway”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Sway”
Context triple: [The Answers, hasPart, “Sway”]
  • A. Sway
    Sway is a skilled and resourceful associate of car thief Memphis Raines in the film "Gone in 60 Seconds."
  • B. Sway
    Sway is a tiling Wayland compositor and window manager designed as a drop-in, i3-compatible replacement for X11-based setups.
  • C. Sway
    Sway is a studio album by American alternative rock band Blue October, known for its emotionally charged lyrics and atmospheric rock sound.
  • D. Sway
    Sway is a Microsoft 365 presentation and storytelling app that lets users create interactive, web-based reports, lessons, and presentations.
  • E. Swoon
    Swoon is a 1992 American independent drama film directed by Tom Kalin that dramatizes the infamous 1924 Leopold and Loeb murder case.
  • 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: “Sway”
Triple: [The Answers, hasPart, “Sway”]
Generated description
“Sway” is a song by The Answers, an Irish rock band known for their energetic, blues-influenced sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: “Sway”
Target entity description: “Sway” is a song by The Answers, an Irish rock band known for their energetic, blues-influenced sound.
  • A. Sway
    Sway is a skilled and resourceful associate of car thief Memphis Raines in the film "Gone in 60 Seconds."
  • B. Sway
    Sway is a tiling Wayland compositor and window manager designed as a drop-in, i3-compatible replacement for X11-based setups.
  • C. Sway
    Sway is a Microsoft 365 presentation and storytelling app that lets users create interactive, web-based reports, lessons, and presentations.
  • D. Sway
    Sway is a studio album by American alternative rock band Blue October, known for its emotionally charged lyrics and atmospheric rock sound.
  • E. Swoon
    Swoon is a 1992 American independent drama film directed by Tom Kalin that dramatizes the infamous 1924 Leopold and Loeb murder case.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb468acc4819083b7e818d5cec809 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde16e85488190b0dcc2ccd2f5df4d completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde2778094819096115d00019c15ec completed May 8, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_69fde2d0445881908b17fc24369ee90f completed May 8, 2026, 1:19 p.m.
Created at: April 10, 2026, 1:26 a.m.