Triple

T4029742
Position Surface form Disambiguated ID Type / Status
Subject Miss Quill E83677 entity
Predicate relatedTo P37 FINISHED
Object Ram Singh E83676 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: Ram Singh | Statement: [Miss Quill, relatedTo, Ram Singh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ram Singh
Context triple: [Miss Quill, relatedTo, Ram Singh]
  • A. Ram Singh chosen
    Ram Singh is a fictional character who serves as the central figure in the narrative of the work titled "Class."
  • B. Man Singh
    Man Singh was an Indian noble and close associate of Nana Sahib who played a role in the events of the 1857 Indian Rebellion.
  • C. Puran Singh
    Puran Singh was a prominent Punjabi writer, poet, and thinker known for his influential contributions to modern Punjabi literature and spiritual-philosophical essays.
  • D. Lal Singh
    Lal Singh was a prominent Sikh military leader and political figure who played a key command role during the Anglo-Sikh Wars in the mid-19th century.
  • E. Maha Singh
    Maha Singh was a prominent Sikh chieftain of the Sukerchakia Misl and an important leader in late 18th-century Punjab, best known as the father of Maharaja Ranjit Singh.
  • 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_69aed92e29ac819080f7a98b594fec05 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaf1d8208190951a20ad7e5ab7bc completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f139a04819091f685c2986c35fb completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:36 p.m.