Triple

T14624331
Position Surface form Disambiguated ID Type / Status
Subject Approaching Normal E343305 entity
Predicate hasPart P35 FINISHED
Object Weight of the World
"Weight of the World" is a song featured on Blue October's album *Approaching Normal*.
 E1109829 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: Weight of the World | Statement: [Approaching Normal, hasPart, Weight of the World]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weight of the World
Context triple: [Approaching Normal, hasPart, Weight of the World]
  • A. Weight of the World
    Weight of the World is a philosophical work by Hannah Arendt that continues her exploration of modern political and moral experience through reflections on human suffering, responsibility, and meaning.
  • B. Against the World
    "Against the World" is a song by the American pop-rock band Hanson.
  • C. What a World
    "What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
  • D. The World Will Know
    "The World Will Know" is a defiant protest anthem from the stage musical Newsies, sung by the newsboys as they unite to strike against powerful publishers.
  • E. The World Over
    The World Over is a weekly Catholic news and commentary television program hosted by Raymond Arroyo that covers current events, culture, and issues affecting the Church and the world.
  • 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: Weight of the World
Triple: [Approaching Normal, hasPart, Weight of the World]
Generated description
"Weight of the World" is a song featured on Blue October's album *Approaching Normal*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weight of the World
Target entity description: "Weight of the World" is a song featured on Blue October's album *Approaching Normal*.
  • A. Weight of the World
    Weight of the World is a philosophical work by Hannah Arendt that continues her exploration of modern political and moral experience through reflections on human suffering, responsibility, and meaning.
  • B. Against the World
    "Against the World" is a song by the American pop-rock band Hanson.
  • C. What a World
    "What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
  • D. The World Will Know
    "The World Will Know" is a defiant protest anthem from the stage musical Newsies, sung by the newsboys as they unite to strike against powerful publishers.
  • E. The World Over
    The World Over is a weekly Catholic news and commentary television program hosted by Raymond Arroyo that covers current events, culture, and issues affecting the Church and the world.
  • 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_69fda92a6b9c8190bdb220444cfbe34a completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb1ad32a4819088e5831f3d74ea4e completed May 8, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_69fdb316479c81909343196bb89e5e57 completed May 8, 2026, 9:55 a.m.
Created at: April 10, 2026, 1:26 a.m.