Triple

T17222984
Position Surface form Disambiguated ID Type / Status
Subject Nau Nihal Singh E418034 entity
Predicate givenName P17 FINISHED
Object Nau Nihal E418034 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: Nau Nihal | Statement: [Nau Nihal Singh, givenName, Nau Nihal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nau Nihal
Context triple: [Nau Nihal Singh, givenName, Nau Nihal]
  • A. Nau Nihal Singh chosen
    Nau Nihal Singh was a Sikh prince of the early 19th century and briefly heir to the throne of the Sikh Empire as the grandson of Maharaja Ranjit Singh.
  • B. Mata Nanaki
    Mata Nanaki was a revered Sikh figure best known as the mother of Guru Tegh Bahadur, the ninth Sikh Guru, and for her devout support of the early Sikh community.
  • C. Nalneesh Neel
    Nalneesh Neel is an Indian actor known for his character roles in Hindi films and web series, including the adaptation of "The White Tiger."
  • D. Alla Rakha
    Alla Rakha was a renowned Indian tabla virtuoso celebrated for his collaborations with sitar maestro Ravi Shankar and for popularizing Indian classical percussion worldwide.
  • E. Ruhi Bey
    Ruhi Bey is the central fictional protagonist of the Turkish work "Ben Ruhi Bey Nasılım," known for his introspective and psychologically complex character.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddf2c3c8190b6adceaaefd4ccbf completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0167596ab481909df59ce68c7f640e completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.