Triple

T7730225
Position Surface form Disambiguated ID Type / Status
Subject Uttam Kumar E175228 entity
Predicate notableWork P4 FINISHED
Object Chiriakhana
Chiriakhana is a 1967 Bengali mystery film directed by Satyajit Ray, featuring Uttam Kumar as the iconic detective Byomkesh Bakshi.
E685200 NE FINISHED

How this triple was built (4 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: Chiriakhana | Statement: [Uttam Kumar, notableWork, Chiriakhana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiriakhana
Context triple: [Uttam Kumar, notableWork, Chiriakhana]
  • A. Ningyōchō
    Ningyōchō is a traditional downtown neighborhood in Tokyo known for its old-style shops, restaurants, and remnants of the city’s Edo-period atmosphere.
  • B. Chikushino
    Chikushino is a city in southwestern Japan known as a residential and commercial hub within the Fukuoka metropolitan area.
  • C. Kayabacho
    Kayabacho is a commercial district in Tokyo's Chūō ward known as a financial hub with dense office buildings and convenient subway access.
  • D. Chibuto
    Chibuto is a town and district capital in southern Mozambique known for its role as an administrative and commercial center in Gaza Province.
  • E. Kuria
    Kuria is a small coral atoll in the central Pacific Ocean that forms part of the island nation of Kiribati.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chiriakhana
Triple: [Uttam Kumar, notableWork, Chiriakhana]
Generated description
Chiriakhana is a 1967 Bengali mystery film directed by Satyajit Ray, featuring Uttam Kumar as the iconic detective Byomkesh Bakshi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chiriakhana
Target entity description: Chiriakhana is a 1967 Bengali mystery film directed by Satyajit Ray, featuring Uttam Kumar as the iconic detective Byomkesh Bakshi.
  • A. Ningyōchō
    Ningyōchō is a traditional downtown neighborhood in Tokyo known for its old-style shops, restaurants, and remnants of the city’s Edo-period atmosphere.
  • B. Chikushino
    Chikushino is a city in southwestern Japan known as a residential and commercial hub within the Fukuoka metropolitan area.
  • C. Kayabacho
    Kayabacho is a commercial district in Tokyo's Chūō ward known as a financial hub with dense office buildings and convenient subway access.
  • D. Chibuto
    Chibuto is a town and district capital in southern Mozambique known for its role as an administrative and commercial center in Gaza Province.
  • E. Kuria
    Kuria is a small coral atoll in the central Pacific Ocean that forms part of the island nation of Kiribati.
  • F. None of above. chosen

Provenance (5 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703358cf881909df8496d943d6de7 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b52e176481908595fea4ace7a607 completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b69c1644819097b84ba84fac9cd2 completed March 29, 2026, 5:20 a.m.
NED2 Entity disambiguation (via description) batch_69c8ba9115a08190b569931686a9cd8d completed March 29, 2026, 5:37 a.m.
Created at: March 27, 2026, 4:06 p.m.