Triple

T22273786
Position Surface form Disambiguated ID Type / Status
Subject Five Rifles E550548 entity
Predicate stars P1956 FINISHED
Object Veena 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: Veena | Statement: [Five Rifles, stars, Veena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veena
Context triple: [Five Rifles, stars, Veena]
  • A. Mohan veena
    The Mohan veena is a modified slide guitar used in Indian classical music, known for its sympathetic and drone strings that create a rich, resonant sound.
  • B. Komal Gandhar
    Komal Gandhar is a 1961 Bengali film by Ritwik Ghatak, noted for its exploration of Partition’s impact on theatre artists and its innovative use of music and sound.
  • C. veena chosen
    The veena is a traditional South Indian plucked string instrument, revered in classical Carnatic music and often associated with the Hindu goddess Saraswati.
  • D. Shruti
    Shruti is the body of divinely revealed Hindu sacred knowledge, encompassing the Vedas and considered the highest authoritative scripture in Hinduism.
  • E. Sindhu Bhairavi
    Sindhu Bhairavi is a critically acclaimed 1985 Tamil musical drama film that explores the complex relationship between a renowned Carnatic musician, his wife, and a devoted female admirer.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea547e4819098baf88f3c605242 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.