Triple

T22033342
Position Surface form Disambiguated ID Type / Status
Subject Winston Chao E544138 entity
Predicate notableWork P4 FINISHED
Object All Is Well 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: All Is Well | Statement: [Winston Chao, notableWork, All Is Well]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All Is Well
Context triple: [Winston Chao, notableWork, All Is Well]
  • A. All Is Well chosen
    All Is Well is a popular Chinese television drama series centered on complex family relationships and personal growth, in which Yao Chen plays a leading role.
  • B. All Is Well
    "All Is Well" is a music album by American singer Lisa Simone Kelly that showcases her soulful vocals and jazz-influenced style.
  • C. All Shall Be Well
    All Shall Be Well is a choral composition by contemporary British composer Roxanna Panufnik, known for its luminous harmonies and spiritually reflective character.
  • D. It's All Good
    "It's All Good" is a song by Bob Dylan that appears on his 2009 album *Together Through Life*, reflecting the record’s blues-infused, roots-rock style.
  • E. All in All
    "All in All" is a song best known as a 1978 disco and R&B hit by the American group Earth, Wind & Fire.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ef97348190b8dcdcad11694ebe completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.