Triple

T20347007
Position Surface form Disambiguated ID Type / Status
Subject The Idiot E495897 entity
Predicate hasTrack P3284 FINISHED
Object China Girl NE NERFINISHED

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: China Girl | Statement: [The Idiot, hasTrack, China Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China Girl
Context triple: [The Idiot, hasTrack, China Girl]
  • A. China Girl chosen
    "China Girl" is a 1983 pop song by David Bowie, co-written with Iggy Pop, known for its new wave sound and controversial music video exploring themes of cultural fetishization and romance.
  • B. China Girl
    "China Girl" is a 1987 romantic crime drama film directed by Abel Ferrara that reimagines the "Romeo and Juliet" story amid gang tensions between New York's Chinatown and Little Italy.
  • C. Beautiful Girl
    "Beautiful Girl" is a song featured on the album *Shine On*.
  • D. China Doll
    "China Doll" is a country music song recorded by American singer Slim Whitman, known for its smooth vocals and sentimental style.
  • E. China Doll
    "China Doll" is a contemplative, melodic song by the Grateful Dead known for its haunting lyrics and delicate, acoustic-driven arrangement.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67839e7b48190876ce7133a20c65b completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.