Triple

T3931666
Position Surface form Disambiguated ID Type / Status
Subject Duleep Singh E90806 entity
Predicate predecessor P97 FINISHED
Object Sher Singh E90202 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: Sher Singh | Statement: [Duleep Singh, predecessor, Sher Singh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sher Singh
Context triple: [Duleep Singh, predecessor, Sher Singh]
  • A. Sher Singh chosen
    Sher Singh was a 19th-century Maharaja of the Sikh Empire who briefly ruled Punjab during the turbulent period following Maharaja Ranjit Singh’s death.
  • B. Satwant Singh
    Satwant Singh was one of the Sikh bodyguards who assassinated Indian Prime Minister Indira Gandhi in 1984, an event that triggered widespread anti-Sikh riots across India.
  • C. Beant Singh
    Beant Singh was one of the Sikh bodyguards who assassinated Indian Prime Minister Indira Gandhi in 1984.
  • D. Gurdial Singh
    Gurdial Singh was a prominent Indian Punjabi novelist and short story writer known for his realistic portrayals of rural life and marginalized communities.
  • E. Mahal Singh Bhatti
    Mahal Singh Bhatti is an Indian politician who has served as the Governor of the state of Haryana.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeda98058819094dd6ab223670860 completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56284b2708190858e830355f3ff24 completed March 14, 2026, 1:28 p.m.
Created at: March 9, 2026, 3:23 p.m.