Triple

T19607690
Position Surface form Disambiguated ID Type / Status
Subject Indigo Girls E470648 entity
Predicate notableWork P4 FINISHED
Object Sugar Tongue
"Sugar Tongue" is a song by the American folk-rock duo Indigo Girls, showcasing their signature harmonies and socially conscious songwriting.
 E1384790 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: Sugar Tongue | Statement: [Indigo Girls, notableWork, Sugar Tongue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sugar Tongue
Context triple: [Indigo Girls, notableWork, Sugar Tongue]
  • A. Sugar Lips
    "Sugar Lips" is a popular jazz trumpet tune by Al Hirt that became one of his signature hits in the 1960s.
  • B. Sweet Candy
    Sweet Candy is a track from AC/DC's 2014 hard rock album "Rock or Bust."
  • C. Stick Out Your Tongue
    Stick Out Your Tongue is a controversial collection of short stories by Chinese writer Ma Jian that portrays life and culture in Tibet with stark, surreal realism.
  • D. Acid Tongue
    Acid Tongue is a 2008 solo album by American singer-songwriter Jenny Lewis that blends indie rock, folk, and country influences with confessional, narrative-driven lyrics.
  • E. Sugar on a Stick
    Sugar on a Stick is a portable, USB-based distribution of the Sugar learning environment designed to provide children with an easy, bootable educational platform.
  • 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: Sugar Tongue
Triple: [Indigo Girls, notableWork, Sugar Tongue]
Generated description
"Sugar Tongue" is a song by the American folk-rock duo Indigo Girls, showcasing their signature harmonies and socially conscious songwriting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sugar Tongue
Target entity description: "Sugar Tongue" is a song by the American folk-rock duo Indigo Girls, showcasing their signature harmonies and socially conscious songwriting.
  • A. Sugar Lips
    "Sugar Lips" is a popular jazz trumpet tune by Al Hirt that became one of his signature hits in the 1960s.
  • B. Sweet Candy
    Sweet Candy is a track from AC/DC's 2014 hard rock album "Rock or Bust."
  • C. Stick Out Your Tongue
    Stick Out Your Tongue is a controversial collection of short stories by Chinese writer Ma Jian that portrays life and culture in Tibet with stark, surreal realism.
  • D. Acid Tongue
    Acid Tongue is a 2008 solo album by American singer-songwriter Jenny Lewis that blends indie rock, folk, and country influences with confessional, narrative-driven lyrics.
  • E. Sugar on a Stick
    Sugar on a Stick is a portable, USB-based distribution of the Sugar learning environment designed to provide children with an easy, bootable educational platform.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640c8aae8819086337e364724f1cb completed April 20, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f2248088190b75dd2697841ae7b completed May 15, 2026, 6 p.m.
NEDg Description generation batch_6a075fac21e88190b01cac2860891f01 completed May 15, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_6a07604b2fe4819090be363844abf2ec completed May 15, 2026, 6:04 p.m.
Created at: April 10, 2026, 1:43 p.m.