Triple

T18353758
Position Surface form Disambiguated ID Type / Status
Subject "If I had a hammer, I'd hammer in the morning" E439735 entity
Predicate lyricStructureRole P73611 FINISHED
Object refrain LITERAL 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: refrain | Statement: ["If I had a hammer, I'd hammer in the morning", lyricStructureRole, refrain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lyricStructureRole
Context triple: ["If I had a hammer, I'd hammer in the morning", lyricStructureRole, refrain]
  • A. dramaticStructureRole
    Indicates the specific function or role an element plays within the overall dramatic structure of a narrative or performance.
  • B. musicalRole
    Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
  • C. lyricalCharacter
    Indicates that one entity is the character or persona expressed or portrayed in the lyrics of the other entity (such as a song or poem).
  • D. lyricType chosen
    Indicates the specific category or role that a lyric plays within a musical or lyrical work (e.g., verse, chorus, bridge).
  • E. roleInRhyme
    Indicates the specific function or part an entity plays within a rhyme, such as a character, object, or structural element of the rhyming text.
  • F. None of above.

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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516d37bc08190abc9b4e8c937c914 completed April 19, 2026, 5:54 p.m.
PD Predicate disambiguation batch_69e44fe91bc08190906518e1b120fcf0 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 10:37 a.m.