Triple

T7073260
Position Surface form Disambiguated ID Type / Status
Subject Mahesh Babu E164750 entity
Predicate brandEndorsement P74841 FINISHED
Object Santoor E633902 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: Santoor | Statement: [Mahesh Babu, brandEndorsement, Santoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santoor
Context triple: [Mahesh Babu, brandEndorsement, Santoor]
  • A. Santoor chosen
    Santoor is a popular Indian personal care brand best known for its sandalwood and turmeric-based bathing soaps.
  • B. Borgeet
    Borgeet are devotional songs from Assam, India, composed primarily by the saint-scholar Srimanta Sankardev and central to Assamese Vaishnavite musical and spiritual traditions.
  • C. Giddha
    Giddha is a traditional Punjabi folk dance performed primarily by women, known for its energetic movements, rhythmic clapping, and expressive lyrical verses called boliyan.
  • D. Sakhigeeta
    Sakhigeeta is a celebrated collection of Kannada poems by the renowned poet D. R. Bendre, noted for its lyrical depth and philosophical insight.
  • E. Shwaas
    Shwaas is a critically acclaimed Marathi-language film known for its poignant portrayal of a grandfather’s struggle to save his grandson’s eyesight, which brought renewed national attention to Marathi cinema.
  • 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_69c6887b96548190a8a9b3ac8adf4119 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e77415e88190ab65137382f1b155 completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c794641dd481908df979600b7a8e92 completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:39 p.m.