Triple

T21419485
Position Surface form Disambiguated ID Type / Status
Subject Harbor Lights E528396 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: [Harbor Lights, hasTrack, China Doll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China Doll
Context triple: [Harbor Lights, hasTrack, China Doll]
  • A. China Doll
    "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 chosen
    "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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b2ccddc08190b4f66fa6ccda41e2 completed April 22, 2026, 11:36 a.m.
Created at: April 16, 2026, 5:47 p.m.