Triple

T19274502
Position Surface form Disambiguated ID Type / Status
Subject Siddhartha E482011 entity
Predicate hasAdaptation P1690 FINISHED
Object Siddhartha (1972 film) 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: Siddhartha (1972 film) | Statement: [Siddhartha, hasAdaptation, Siddhartha (1972 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siddhartha (1972 film)
Context triple: [Siddhartha, hasAdaptation, Siddhartha (1972 film)]
  • A. Siddhartha chosen
    Siddhartha is a philosophical novel by Hermann Hesse that follows a young man's spiritual journey toward enlightenment in ancient India.
  • B. Siddhartha of Kundagrama
    Siddhartha of Kundagrama was an ancient Indian nobleman and king of the Nata clan, best known as the father of Mahavira, the 24th Tirthankara of Jainism.
  • C. Kapurush
    Kapurush is a 1965 Bengali drama film directed by Satyajit Ray, known for its nuanced exploration of moral cowardice and complex human relationships.
  • D. Samsara
    Samsara is a classic oriental woody fragrance by Guerlain, known for its rich sandalwood and jasmine composition.
  • E. Nachiketa
    Nachiketa is a young seeker in Hindu philosophy renowned for his fearless inquiry into the nature of death and the soul in the Katha Upanishad.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbbb2fc08190b417a6d0b7a9d6b8 completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.