Triple

T18554255
Position Surface form Disambiguated ID Type / Status
Subject Ruth St. Denis E453459 entity
Predicate notableWork P4 FINISHED
Object Incense 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: Incense | Statement: [Ruth St. Denis, notableWork, Incense]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Incense
Context triple: [Ruth St. Denis, notableWork, Incense]
  • A. Incense chosen
    "Incense" is a pioneering modern dance solo choreographed and performed by Ruth St. Denis, inspired by Eastern mysticism and ritual.
  • B. Sakai incense
    Sakai incense is a traditional Japanese incense produced in Sakai, Osaka, renowned for its high quality and craftsmanship.
  • C. Candle
    "Candle" is a song by the American alternative rock band Sonic Youth, featured on their acclaimed 1988 album *Daydream Nation*.
  • D. CANDLES
    CANDLES is a neutrino physics experiment at the Kamioka Observatory designed to search for neutrinoless double beta decay using calcium fluoride scintillators.
  • E. Moth Smoke
    Moth Smoke is a novel by Pakistani author Mohsin Hamid that explores class disparity, corruption, and moral decay in contemporary Lahore through the downfall of a disillusioned banker.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5380341548190873eeb92f86bd6fe completed April 19, 2026, 8:16 p.m.
Created at: April 10, 2026, 11:38 a.m.