Triple

T22071190
Position Surface form Disambiguated ID Type / Status
Subject Cotton Candy (title track) E545408 entity
Predicate composer P1361 FINISHED
Object Russ Damon
Russ Damon is a music composer known for creating the title track "Cotton Candy."
E1517523 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: Russ Damon | Statement: [Cotton Candy (title track), composer, Russ Damon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russ Damon
Context triple: [Cotton Candy (title track), composer, Russ Damon]
  • A. Damon Salesa
    Damon Salesa is a New Zealand historian and academic leader known for his work on Pacific studies and for serving as vice-chancellor of Auckland University of Technology.
  • B. Damon Elliott
    Damon Elliott is an American record producer and songwriter known for his work across pop, R&B, and hip-hop with artists such as Beyoncé, Pink, and Destiny’s Child.
  • C. Michael Dorman
    Michael Dorman is an Australian actor known for his roles in television series such as "For All Mankind," "Patriot," and "The Secret Life of Us."
  • D. Damon Gough
    Damon Gough is an English singer-songwriter and multi-instrumentalist best known for recording under the stage name Badly Drawn Boy.
  • E. Damon Baird
    Damon Baird is a sarcastic, tech-savvy Gear and key squad member in the Gears of War video game series, known for his engineering expertise and sharp wit.
  • 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: Russ Damon
Triple: [Cotton Candy (title track), composer, Russ Damon]
Generated description
Russ Damon is a music composer known for creating the title track "Cotton Candy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Russ Damon
Target entity description: Russ Damon is a music composer known for creating the title track "Cotton Candy."
  • A. Damon Salesa
    Damon Salesa is a New Zealand historian and academic leader known for his work on Pacific studies and for serving as vice-chancellor of Auckland University of Technology.
  • B. Damon Elliott
    Damon Elliott is an American record producer and songwriter known for his work across pop, R&B, and hip-hop with artists such as Beyoncé, Pink, and Destiny’s Child.
  • C. Michael Dorman
    Michael Dorman is an Australian actor known for his roles in television series such as "For All Mankind," "Patriot," and "The Secret Life of Us."
  • D. Damon Gough
    Damon Gough is an English singer-songwriter and multi-instrumentalist best known for recording under the stage name Badly Drawn Boy.
  • E. Damon Baird
    Damon Baird is a sarcastic, tech-savvy Gear and key squad member in the Gears of War video game series, known for his engineering expertise and sharp wit.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128881af481909b28cda2d343f4e3 completed April 28, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80b378888190b7d26cd57a6eec23 completed May 18, 2026, 3 a.m.
NEDg Description generation batch_6a0a817450ac81908479592e5cfc0126 completed May 18, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0a827806a8819099933d597773a1e1 completed May 18, 2026, 3:07 a.m.
Created at: April 16, 2026, 8:28 p.m.