Triple

T22483761
Position Surface form Disambiguated ID Type / Status
Subject Reckoning E555830 entity
Predicate hasTrack P3284 FINISHED
Object China Doll 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 Doll | Statement: [Reckoning, hasTrack, China Doll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China Doll
Context triple: [Reckoning, hasTrack, China Doll]
  • A. China Doll chosen
    "China Doll" is a contemplative, melodic song by the Grateful Dead known for its haunting lyrics and delicate, acoustic-driven arrangement.
  • B. China Doll
    "China Doll" is a dramatic work associated with actor and filmmaker Christopher Denham, known for its intense, character-driven storytelling.
  • C. China Doll
    "China Doll" is a country music song recorded by American singer Slim Whitman, known for its smooth vocals and sentimental style.
  • D. The China Doll
    The China Doll is a film featuring American actor Scott Brady in a prominent role.
  • E. China Girl
    "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.
  • 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_69e11e53897c819088863779f8c50bb0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15c3b03d881909e286a124c1a2b1c completed April 29, 2026, 1:17 a.m.
Created at: April 16, 2026, 8:49 p.m.