Triple

T22658615
Position Surface form Disambiguated ID Type / Status
Subject From the Mars Hotel E559298 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: [From the Mars Hotel, hasTrack, China Doll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China Doll
Context triple: [From the Mars Hotel, 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765d10588190b4574f3e64617cd4 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:07 p.m.