Triple

T20453237
Position Surface form Disambiguated ID Type / Status
Subject Blush E501707 entity
Predicate hasPart P35 FINISHED
Object Morning Sun 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: Morning Sun | Statement: [Blush, hasPart, Morning Sun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morning Sun
Context triple: [Blush, hasPart, Morning Sun]
  • A. Morning Sun
    "Morning Sun" is a song by British pop singer Robbie Williams, featured on his 2009 album "Reality Killed the Video Star."
  • B. Morning Sun chosen
    Morning Sun is a 1952 painting by Edward Hopper depicting a solitary woman bathed in stark morning light as she sits on a bed and gazes out a window, exemplifying his themes of urban isolation and introspection.
  • C. Little Fires
    Little Fires is a historical work included within the larger collection titled "History Books."
  • D. Mondays in the Sun
    Mondays in the Sun is a Spanish social drama film that portrays the struggles and dignity of a group of unemployed shipyard workers in a declining industrial town.
  • E. The Morning Sun
    The Morning Sun is a local daily newspaper serving the community of Pittsburg, Kansas, with regional news, sports, and events coverage.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68d039af08190827bf765b50515a8 completed April 20, 2026, 8:30 p.m.
Created at: April 16, 2026, 11:32 a.m.