Triple

T19665804
Position Surface form Disambiguated ID Type / Status
Subject Greatest Hits E472194 entity
Predicate includesWork P2011 FINISHED
Object Sugar Mountain 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: Sugar Mountain | Statement: [Greatest Hits, includesWork, Sugar Mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sugar Mountain
Context triple: [Greatest Hits, includesWork, Sugar Mountain]
  • A. Sugar Mountain chosen
    "Sugar Mountain" is a beloved Neil Young song, written when he was a teenager, that nostalgically reflects on the loss of youth and innocence.
  • B. Sweet Marie
    Sweet Marie is the titular woman addressed in Bob Dylan’s song “Absolutely Sweet Marie,” serving as the elusive, symbolic love interest at the center of the lyrics.
  • C. Lady Hill
    Lady Hill is a prominent historic mound and viewpoint in Elgin, Scotland, crowned by the Duke of Gordon’s Monument and overlooking the surrounding town and countryside.
  • D. Round Midnight
    "Round Midnight" is a jazz standard composed by Thelonious Monk that has become one of the most recorded and celebrated pieces in the jazz repertoire.
  • E. Moonlight Mile
    Moonlight Mile is a crime novel by Dennis Lehane that revisits private investigators Patrick Kenzie and Angela Gennaro as they confront the consequences of a child abduction case from their past.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416857c88190acb3adbf3e585fe5 completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.