Triple

T21884713
Position Surface form Disambiguated ID Type / Status
Subject Nihal E540374 entity
Predicate hasProperName P27536 FINISHED
Object Nihal 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: Nihal | Statement: [Nihal, hasProperName, Nihal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nihal
Context triple: [Nihal, hasProperName, Nihal]
  • A. Nihal chosen
    Nihal is a bright yellow giant star in the constellation Lepus, notable as one of its most luminous members.
  • B. Judit
    Judit is a feminine given name, commonly used in several European languages, that corresponds to the English name Judith.
  • C. Anand
    Anand is a city in the Indian state of Gujarat, known as a major dairy hub and home to the Amul cooperative.
  • D. Anand
    Anand is a classic 1971 Hindi drama film directed by Hrishikesh Mukherjee, celebrated for its poignant story about a terminally ill man who inspires everyone around him.
  • E. Rajnaeshwari
    Rajnaeshwari is a revered Hindu goddess associated with the deity Sharika Devi, worshipped particularly in the Kashmir region.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118eabb008190ab6f1364ef4e6feb completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:05 p.m.