Triple

T18737763
Position Surface form Disambiguated ID Type / Status
Subject Yayati E458208 entity
Predicate child P120 FINISHED
Object Puru 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: Puru | Statement: [Yayati, child, Puru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puru
Context triple: [Yayati, child, Puru]
  • A. Puru chosen
    Puru is a legendary king in Hindu mythology, known as an ancestor of the Kuru dynasty and a prominent figure in the lunar (Chandravamsha) royal lineage.
  • B. Parchal
    Parchal is a town in Portugal’s Algarve region, situated near the Arade River opposite Portimão and known historically for its fishing and canning industries.
  • C. Pulaar
    Pulaar is a Fula language variety spoken primarily by the Fula (Fulani) people across West Africa, including in Mauritania, Senegal, and neighboring countries.
  • D. Pujali
    Pujali is a small town and municipality in the Indian state of West Bengal, situated near Kolkata along the Hooghly River.
  • E. Ghashiram
    Ghashiram is the tragic and ambitious protagonist of Vijay Tendulkar’s Marathi play "Ghashiram Kotwal," whose rise and fall expose the corruption and brutality of power.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768b80ac8190bc05628d64f86fc9 completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.