Triple

T11902784
Position Surface form Disambiguated ID Type / Status
Subject Peng Yuchang E283195 entity
Predicate notableWork P4 FINISHED
Object All Is Well E682804 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: All Is Well | Statement: [Peng Yuchang, notableWork, All Is Well]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All Is Well
Context triple: [Peng Yuchang, 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 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.
  • C. 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.
  • D. So Well
    "So Well" is a song featured on the album "Nothing Is Wrong" by the American folk-rock band Dawes.
  • E. All of It
    All of It is a theatrical work best known as a prominent stage performance by British actress Kate O’Flynn.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd1792648190853f15fbf217eebd completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4183d29b081908cfbf4d91a365681 completed May 1, 2026, 3:04 a.m.
Created at: April 8, 2026, 9:44 p.m.