Triple

T20294771
Position Surface form Disambiguated ID Type / Status
Subject Little Earthquakes E510117 entity
Predicate hasPart P35 FINISHED
Object Winter 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: Winter | Statement: [Little Earthquakes, hasPart, Winter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winter
Context triple: [Little Earthquakes, hasPart, Winter]
  • A. Winter
    "Winter" is an 1873 allegorical painting by French artist Pierre Puvis de Chavannes, depicting a serene, muted landscape that embodies the quiet austerity of the winter season.
  • B. Winter
    Winter is a surname of Germanic origin borne by various notable individuals, including the American blues guitarist Johnny Winter.
  • C. Winter
    Winter is the coldest season of the year, typically marked by low temperatures, shorter days, and often snow or frost in many regions.
  • D. Winter chosen
    "Winter" is a song by the Rolling Stones from their 1973 album *Goats Head Soup*, noted for its reflective lyrics and atmospheric, melancholic sound.
  • E. Winter
    Winter is a 17th-century landscape painting by Nicolas Poussin, part of his famous series depicting the Four Seasons through biblical scenes.
  • 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6770714c4819080e3256325747ebf completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:13 a.m.