Triple

T14688032
Position Surface form Disambiguated ID Type / Status
Subject Hadestown E344963 entity
Predicate notableSong P4 FINISHED
Object Way Down Hadestown E344963 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: Way Down Hadestown | Statement: [Hadestown, notableSong, Way Down Hadestown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Way Down Hadestown
Context triple: [Hadestown, notableSong, Way Down Hadestown]
  • A. Hadestown chosen
    Hadestown is a Tony Award–winning Broadway musical that reimagines the Greek myths of Orpheus and Eurydice and Hades and Persephone through a folk- and jazz-infused score.
  • B. Oreste in Hadestown
    Oreste in Hadestown is a character role in the musical "Hadestown," portrayed onstage by actor and singer Ramin Karimloo.
  • C. Girl from the North Country
    "Girl from the North Country" is a reflective folk ballad by Bob Dylan, celebrated for its melancholic lyrics and enduring influence in his catalog.
  • D. The Get Down
    The Get Down is a musical drama television series set in 1970s New York City that chronicles the rise of hip-hop and disco through the lives of South Bronx teenagers.
  • E. State of Song
    The State of Song was an ancient Chinese state during the Zhou dynasty period, historically notable as the homeland of the philosopher Zhuangzi.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb58306548190b981956a83a84b95 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde1876fdc81908a4fe3deebb7ff83 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.