Triple

T7075849
Position Surface form Disambiguated ID Type / Status
Subject Paradise Valley E164815 entity
Predicate hasSingle P3282 FINISHED
Object Paper Doll E639921 NE FINISHED

How this triple was built (2 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: Paper Doll | Statement: [Paradise Valley, hasSingle, Paper Doll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paper Doll
Context triple: [Paradise Valley, hasSingle, Paper Doll]
  • A. Paper Doll chosen
    "Paper Doll" is a song featured on the album "Paradise Valley" by American singer-songwriter John Mayer.
  • B. Dollface
    Dollface is an American comedy series that follows a young woman who, after a breakup, must rekindle the female friendships she left behind while navigating adulthood.
  • C. Rag Doll
    "Rag Doll" is a hit rock song by Aerosmith, released in 1988 and known for its bluesy groove and prominent horn section.
  • D. Rumble Doll
    Rumble Doll is Patti Scialfa’s debut solo album, showcasing her introspective songwriting and roots-rock style.
  • E. The Girl
    The Girl is a mysterious, free-spirited young hitchhiker who becomes the enigmatic focal point of tension and desire between the two male drivers in the 1971 road movie "Two-Lane Blacktop."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ce3d3c81908cbb912b256aadbf completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c8ca5a48190bbfbf640fb1f778d completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:40 p.m.