Triple

T7121698
Position Surface form Disambiguated ID Type / Status
Subject Pather Panchali E165962 entity
Predicate associatedWith P37 FINISHED
Object Apu trilogy E165971 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: Apu trilogy | Statement: [Pather Panchali, associatedWith, Apu trilogy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apu trilogy
Context triple: [Pather Panchali, associatedWith, Apu trilogy]
  • A. The Apu Trilogy chosen
    The Apu Trilogy is a landmark series of three Bengali films by Satyajit Ray that follows the life of a boy named Apu from childhood to adulthood, renowned for its humanism, realism, and profound emotional depth.
  • B. Bde Maka Ska
    Bde Maka Ska is the largest lake in Minneapolis, Minnesota, popular for recreation and known as part of the city’s Chain of Lakes.
  • C. Little Edo
    Little Edo is the historical nickname for Kawagoe in Saitama Prefecture, known for its well-preserved Edo-period streetscapes and traditional warehouses.
  • D. Tampopo
    Tampopo is a 1985 Japanese comedy film, often described as a "ramen Western," that humorously explores food, culture, and human relationships through the story of perfecting a bowl of ramen.
  • E. Les Muma
    Les Muma is an American businessman and philanthropist best known for his major contributions to the University of South Florida, where the business school bears his name.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e61e67788190959fbd7fa6c929d3 completed March 27, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a32ba9588190a078723207c4f823 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:44 p.m.