Triple

T22105277
Position Surface form Disambiguated ID Type / Status
Subject Shankar–Jaikishan E546269 entity
Predicate notableWork P4 FINISHED
Object Shree 420 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: Shree 420 | Statement: [Shankar–Jaikishan, notableWork, Shree 420]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shree 420
Context triple: [Shankar–Jaikishan, notableWork, Shree 420]
  • A. Shree 420 chosen
    Shree 420 is a classic 1955 Hindi film directed by and starring Raj Kapoor, celebrated for its social themes, memorable music, and iconic status in Indian cinema history.
  • B. Pi Indi
    Pi Indi is a star located in the southern constellation Indus.
  • C. Satyam Shivam Sundaram
    Satyam Shivam Sundaram is a 1978 Hindi romantic drama film directed by Raj Kapoor, known for its exploration of inner beauty versus physical appearance and its memorable music.
  • D. Utkarsh
    Utkarsh is a masculine given name of Indian origin commonly used in Hindi-speaking communities.
  • E. Shashi
    Shashi is an Indian given name commonly used for both males and females, often associated with the moon or moonlight in Sanskrit.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12918d7a4819080283c287a253c9f completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.