Triple

T7565391
Position Surface form Disambiguated ID Type / Status
Subject Paul Grilley E178899 entity
Predicate teaches P1476 FINISHED
Object Yin Yoga E672706 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: Yin Yoga | Statement: [Paul Grilley, teaches, Yin Yoga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yin Yoga
Context triple: [Paul Grilley, teaches, Yin Yoga]
  • A. Yin Yoga chosen
    Yin Yoga is a slow-paced style of yoga that emphasizes long-held, passive floor poses to gently stress connective tissues and support meditative stillness.
  • B. Hatha Yoga
    Hatha Yoga is a branch of yoga focused on physical postures, breath control, and purification practices that aims to prepare the body and mind for higher meditative states.
  • C. Yoga
    Yoga is a residential and commercial neighborhood in Setagaya, Tokyo, known for its convenient transport links and urban lifestyle.
  • D. Yoga
    Yoga is Lenovo’s line of versatile laptops and 2-in-1 convertible devices known for their flexible hinges and portable design.
  • E. Yoga Tantra
    Yoga Tantra is a branch of tantric practice that integrates yogic disciplines with tantric philosophy and ritual to cultivate spiritual realization and transformation.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fde87c81909795fc713d7378ff completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8615c98808190a9dd598846a598b2 completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:50 p.m.