Triple

T22646459
Position Surface form Disambiguated ID Type / Status
Subject Mildred Bailey E558976 entity
Predicate performerOf P1363 FINISHED
Object Please Be Kind 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: Please Be Kind | Statement: [Mildred Bailey, performerOf, Please Be Kind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Please Be Kind
Context triple: [Mildred Bailey, performerOf, Please Be Kind]
  • A. Please Be Kind chosen
    "Please Be Kind" is a popular song closely associated with jazz singer Mildred Bailey, showcasing her smooth vocal style and influence in the swing era.
  • B. How Kind of You
    "How Kind of You" is a reflective, understated song by Paul McCartney from his 2005 album "Chaos and Creation in the Backyard."
  • C. Kinds of Kindness
    Kinds of Kindness is a 2024 darkly comic anthology film directed by Yorgos Lanthimos that interweaves three surreal stories exploring control, obedience, and human relationships.
  • D. You're Kind
    "You're Kind" is a gentle, reflective song by Paul Simon from his 1975 album *Still Crazy After All These Years*.
  • E. Cruel to Be Kind
    "Cruel to Be Kind" is a 1979 power pop song by English singer-songwriter Nick Lowe, best known for its catchy melody and wry, bittersweet lyrics about tough love.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f170382ba48190b77692762db43313 completed April 29, 2026, 2:43 a.m.
Created at: April 17, 2026, 3:05 p.m.