Triple

T22658634
Position Surface form Disambiguated ID Type / Status
Subject From the Mars Hotel E559298 entity
Predicate notableSong P4 FINISHED
Object Scarlet Begonias 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: Scarlet Begonias | Statement: [From the Mars Hotel, notableSong, Scarlet Begonias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scarlet Begonias
Context triple: [From the Mars Hotel, notableSong, Scarlet Begonias]
  • A. Scarlet Begonias chosen
    "Scarlet Begonias" is a beloved 1974 Grateful Dead song known for its vivid, whimsical lyrics and improvisational live performances.
  • B. Phlox
    Phlox is the Denobulan chief medical officer aboard the starship Enterprise in the television series "Star Trek: Enterprise."
  • C. Begonia
    Begonia is a large genus of ornamental flowering plants known for their colorful, asymmetrical leaves and showy blooms, widely cultivated as houseplants and garden plants.
  • D. Mirabilis
    Mirabilis is a genus of flowering plants best known for ornamental species like the four o'clock flower, valued for their colorful, fragrant blooms that often open in the late afternoon.
  • E. Mirabilis
    Mirabilis is an Israeli software company best known for creating the pioneering instant messaging service ICQ in the 1990s.
  • 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.