Triple

T9556364
Position Surface form Disambiguated ID Type / Status
Subject Gabe Goodman E230548 entity
Predicate hasSong P20452 FINISHED
Object There’s a World
"There’s a World" is a song performed by the character Gabe Goodman in the rock musical *Next to Normal*.
 E806756 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: There’s a World | Statement: [Gabe Goodman, hasSong, There’s a World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: There’s a World
Context triple: [Gabe Goodman, hasSong, There’s a World]
  • A. What a World
    "What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
  • B. In This World
    In This World is a 2002 British docudrama film directed by Michael Winterbottom that follows two Afghan refugees on a perilous journey from Pakistan to the United Kingdom.
  • C. It’s Your World
    "It’s Your World" is an R&B song by American singer Jennifer Hudson, known for its empowering lyrics and soulful vocal performance.
  • D. Half of the World
    Half of the World is a famous nickname for the Iranian city of Isfahan, highlighting its historical grandeur, architectural splendor, and cultural significance.
  • E. One World
    "One World" is a song by the American new wave band Taboo, recognized for its blend of catchy melodies and socially conscious lyrics.
  • 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: There’s a World
Triple: [Gabe Goodman, hasSong, There’s a World]
Generated description
"There’s a World" is a song performed by the character Gabe Goodman in the rock musical *Next to Normal*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: There’s a World
Target entity description: "There’s a World" is a song performed by the character Gabe Goodman in the rock musical *Next to Normal*.
  • A. What a World
    "What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
  • B. In This World
    In This World is a 2002 British docudrama film directed by Michael Winterbottom that follows two Afghan refugees on a perilous journey from Pakistan to the United Kingdom.
  • C. It’s Your World
    "It’s Your World" is an R&B song by American singer Jennifer Hudson, known for its empowering lyrics and soulful vocal performance.
  • D. Half of the World
    Half of the World is a famous nickname for the Iranian city of Isfahan, highlighting its historical grandeur, architectural splendor, and cultural significance.
  • E. One World
    "One World" is a song by the American new wave band Taboo, recognized for its blend of catchy melodies and socially conscious lyrics.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9946c7b8819082f3a4ec4fc979e6 completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152913df0819089ec9656dcdc9fa1 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d153c26b8481908298b32918666562 completed April 4, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_69d15445e7a88190accd19c53a6170bb completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:03 p.m.