Triple

T20417858
Position Surface form Disambiguated ID Type / Status
Subject Vishkanya E500759 entity
Predicate title P38 FINISHED
Object Vishkanya 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: Vishkanya | Statement: [Vishkanya, title, Vishkanya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vishkanya
Context triple: [Vishkanya, title, Vishkanya]
  • A. Vishkanya chosen
    Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
  • B. Vandjala
    Vandjala is a small village in northern Estonia located within Harku Parish in Harju County.
  • C. Yablanitsa
    Yablanitsa is a small town in northern Bulgaria known for its traditional confectionery and location along the Hemus motorway.
  • D. Shastina
    Shastina is a prominent satellite cone and secondary peak on the western flank of California’s Mount Shasta, formed by later volcanic activity.
  • E. Moglina
    Moglina is a Slavic-origin surname, most notably borne by individuals such as Nina Moglina.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a44ecf48190ba5a3872af500dc8 completed April 20, 2026, 7:11 p.m.
Created at: April 16, 2026, 11:30 a.m.