Triple

T29251485
Position Surface form Disambiguated ID Type / Status
Subject Filmfare Award for Best Lyricist E741577 entity
Predicate hasSubsequentEditions P112178 FINISHED
Object given every year with new winners 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: given every year with new winners | Statement: [Filmfare Award for Best Lyricist, hasSubsequentEditions, given every year with new winners]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubsequentEditions
Context triple: [Filmfare Award for Best Lyricist, hasSubsequentEditions, given every year with new winners]
  • A. laterEditions chosen
    Indicates that one entity is a subsequent or more recent edition of another entity.
  • B. hasDifferentEditions
    Indicates that an entity exists in multiple distinct versions or editions that differ in some characteristics.
  • C. hasEditionIn
    Indicates that one entity has a specific edition or version that exists or is available in another entity (such as a particular format, language, or location).
  • D. laterEditionContains
    Indicates that a later edition of a work includes all or part of the content from an earlier edition.
  • E. hasPreviousEdition
    Indicates that one entity is an earlier edition or version that directly precedes another entity in a sequence.
  • 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_69f0911eba2c8190b07cd2fdf91422c9 completed April 28, 2026, 10:51 a.m.
NER Named-entity recognition batch_69fd82ed2a4c81908bd7797fbd2e3d08 completed May 8, 2026, 6:30 a.m.
PD Predicate disambiguation batch_69fd814cc10481908e4f8123d35a5d0c completed May 8, 2026, 6:23 a.m.
Created at: April 28, 2026, 12:34 p.m.