Triple

T17729903
Position Surface form Disambiguated ID Type / Status
Subject Shout E442558 entity
Predicate hasPart P35 FINISHED
Object Shout (Part 2)
"Shout (Part 2)" is a continuation or extended section of the song "Shout," typically featuring additional musical or lyrical development beyond the original part.
 E442558 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: Shout (Part 2) | Statement: [Shout, hasPart, Shout (Part 2)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shout (Part 2)
Context triple: [Shout, hasPart, Shout (Part 2)]
  • A. Shout It Out
    Shout It Out is a pop-rock studio album by American band Hanson, known for its upbeat, soulful sound and horn-driven arrangements.
  • B. Shout It Out Loud
    "Shout It Out Loud" is a high-energy hard rock anthem by the American band Kiss, celebrated as one of their signature crowd-pleasing songs.
  • C. Shout
    "Shout" is a classic 1959 rhythm and blues song by The Isley Brothers that became an enduring party anthem and pop culture staple.
  • D. Shout
    Shout is a film written by Joe Gayton, best known as a rock-and-roll–infused drama set in the 1950s about a rebellious music teacher who transforms a small-town Texas boys’ school.
  • E. Shout
    Shout is a household cleaning brand best known for its stain-removal products for laundry and fabrics.
  • 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: Shout (Part 2)
Triple: [Shout, hasPart, Shout (Part 2)]
Generated description
"Shout (Part 2)" is a continuation or extended section of the song "Shout," typically featuring additional musical or lyrical development beyond the original part.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shout (Part 2)
Target entity description: "Shout (Part 2)" is a continuation or extended section of the song "Shout," typically featuring additional musical or lyrical development beyond the original part.
  • A. Shout It Out
    Shout It Out is a pop-rock studio album by American band Hanson, known for its upbeat, soulful sound and horn-driven arrangements.
  • B. Shout It Out Loud
    "Shout It Out Loud" is a high-energy hard rock anthem by the American band Kiss, celebrated as one of their signature crowd-pleasing songs.
  • C. Shout chosen
    "Shout" is a classic 1959 rhythm and blues song by The Isley Brothers that became an enduring party anthem and pop culture staple.
  • D. Shout
    Shout is a household cleaning brand best known for its stain-removal products for laundry and fabrics.
  • E. Shout
    Shout is a film written by Joe Gayton, best known as a rock-and-roll–infused drama set in the 1950s about a rebellious music teacher who transforms a small-town Texas boys’ school.
  • F. None of above.

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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e5ba7c81908f8b06eb6859067f completed April 19, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efaf24d48190a535eba40ae33443 completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f077f03881908961ea770850a2d6 completed May 12, 2026, 9:18 a.m.
NED2 Entity disambiguation (via description) batch_6a02f116f4648190ac9ef1cc81bd032d completed May 12, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:08 a.m.