Triple

T10031472
Position Surface form Disambiguated ID Type / Status
Subject As If! E204861 entity
Predicate hasPart P35 FINISHED
Object Traces E337272 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: Traces | Statement: [As If!, hasPart, Traces]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Traces
Context triple: [As If!, hasPart, Traces]
  • A. Traces chosen
    Traces is a song co-written and produced by American songwriter and producer Buddy Buie, best known through its hit recording by the Classics IV.
  • B. Traces
    Traces is a work by American historian and author James B. Cobb Jr., likely exploring themes related to the history and culture of the American South.
  • C. Human Traces
    Human Traces is a historical novel by Sebastian Faulks that explores the early development of psychiatry and the complexities of the human mind through the intertwined lives of two 19th-century doctors.
  • D. Trace
    Trace is a large-scale installation by Chinese artist Ai Weiwei composed of thousands of LEGO portraits depicting political prisoners and activists from around the world.
  • E. Leave a Trace
    "Leave a Trace" is a synth-pop song by Scottish band Chvrches, known for its shimmering electronic production and emotionally charged lyrics about empowerment and moving on.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce461d6481908cc8f968856e0337 completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2823e63488190bef7633b1a755df8 completed April 5, 2026, 3:39 p.m.
Created at: March 30, 2026, 8:54 p.m.