Triple

T3970716
Position Surface form Disambiguated ID Type / Status
Subject Rain on Lens E92325 entity
Predicate hasTrack P3284 FINISHED
Object The Well E313301 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: The Well | Statement: [Rain on Lens, hasTrack, The Well]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Well
Context triple: [Rain on Lens, hasTrack, The Well]
  • A. The Well
    The Well is a 1997 Australian psychological thriller film in which Miranda Otto gives a critically acclaimed performance as a young woman entangled in a tense, isolating relationship with her guardian.
  • B. The Well chosen
    "The Well" is a song by American singer-songwriter Smog (Bill Callahan), featured on his 2005 album *A River Ain't Too Much to Love*, known for its sparse, introspective folk style.
  • C. Wizard’s Well
    Wizard’s Well is a historic, carved spring on Alderley Edge in Cheshire, England, associated with local legends of a sleeping army and a mysterious wizard.
  • D. Old Well
    Old Well is an iconic neoclassical rotunda and campus symbol of the University of North Carolina at Chapel Hill, traditionally associated with good luck for students who drink from it.
  • E. Fonte das Lágrimas
    Fonte das Lágrimas is a historic fountain in Coimbra, Portugal, romantically associated with the tragic medieval love story of Pedro and Inês de Castro.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9942c908190aface17a4e8d356d completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5400b75d081909b8e4840b15d19f1 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:32 p.m.