Triple

T28375365
Position Surface form Disambiguated ID Type / Status
Subject Mater's Junkyard Jamboree E718741 entity
Predicate hasMusicTitle P87550 FINISHED
Object “Junkyard Jamboree”
"Junkyard Jamboree" is a lively, country-style song featured in the Mater's Junkyard Jamboree attraction at Disney California Adventure, themed to the Cars franchise.
 E1813923 NE FINISHED

How this triple was built (3 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: “Junkyard Jamboree” | Statement: [Mater's Junkyard Jamboree, hasMusicTitle, “Junkyard Jamboree”]
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: “Junkyard Jamboree”
Triple: [Mater's Junkyard Jamboree, hasMusicTitle, “Junkyard Jamboree”]
Generated description
"Junkyard Jamboree" is a lively, country-style song featured in the Mater's Junkyard Jamboree attraction at Disney California Adventure, themed to the Cars franchise.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMusicTitle
Context triple: [Mater's Junkyard Jamboree, hasMusicTitle, “Junkyard Jamboree”]
  • A. hasSongTitle chosen
    Indicates that an entity (such as a song or musical work) bears or is associated with a specific song title.
  • B. hasSong
    Indicates that one entity possesses, features, or includes a particular song.
  • C. hasMainTitleSequenceMusicBy
    Indicates that a work’s main title sequence music is composed or performed by a specified person or entity.
  • D. hasMusical
    Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
  • E. sourceMusicalTitle
    Indicates that one musical work is derived from, based on, or uses material from another specified musical title.
  • F. None of above.

Provenance (6 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_69eff6ee5afc8190bd7375a29f0cc6c6 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f7308a096081909d66a56f3c926806 completed May 3, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1627d998848190bb75626a3c441dba completed May 26, 2026, 11:08 p.m.
NEDg Description generation batch_6a1629cc5c108190a1c0d533c8845925 completed May 26, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_6a162a528ff8819090b6069a04b7758f completed May 26, 2026, 11:18 p.m.
PD Predicate disambiguation batch_69f72a00c5f081908b6539d15baf4e12 completed May 3, 2026, 10:57 a.m.
Created at: April 28, 2026, 1:02 a.m.