Triple

T4646532
Position Surface form Disambiguated ID Type / Status
Subject Tamasha E102184 entity
Predicate relatedArtForm P37 FINISHED
Object Nautanki E168040 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: Nautanki | Statement: [Tamasha, relatedArtForm, Nautanki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nautanki
Context triple: [Tamasha, relatedArtForm, Nautanki]
  • A. Ludruk
    Ludruk is a traditional East Javanese folk theater form combining comedic dialogue, music, dance, and social commentary, typically performed in the Javanese language.
  • B. Putaendo
    Putaendo is a small Chilean city in the Valparaíso Region, known for its rural character, historical heritage, and location in the Aconcagua Valley.
  • C. Nagode
    "Nagode" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its catchy melody and blend of contemporary and African musical elements.
  • D. Muthaiga
    Muthaiga is an affluent residential suburb of Nairobi, Kenya, known for its upscale homes, diplomatic residences, and exclusive social clubs.
  • E. Ankia Naat chosen
    Ankia Naat is a traditional Assamese one-act play form, rooted in Vaishnavite devotional themes and performed with music, dance, and stylized narration.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd62fcb8508190a17c4437b3d226b2 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfadfe8b4819088a5fb1565bbe94a completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.