Triple

T22094630
Position Surface form Disambiguated ID Type / Status
Subject City of Joy E545992 entity
Predicate character P662 FINISHED
Object Hazari Pal
Hazari Pal is a central character in the film "City of Joy," depicted as a poor but determined villager who moves to Calcutta seeking a better life for his family.
 E1518933 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: Hazari Pal | Statement: [City of Joy, character, Hazari Pal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hazari Pal
Context triple: [City of Joy, character, Hazari Pal]
  • A. Talwandi Bhai
    Talwandi Bhai is a small town in Punjab, India, known primarily as an agricultural and grain market hub.
  • B. Lakhani
    Lakhani is a town in the Banaskantha district of Gujarat, India, known as a local commercial and administrative center for the surrounding rural region.
  • C. Guhilot
    Guhilot is a prominent Rajput clan historically associated with the rulers of Mewar in present-day Rajasthan, India.
  • D. Balotra
    Balotra is a town in the Indian state of Rajasthan, known as a regional commercial center and textile hub within the Barmer district.
  • E. Barindar
    Barindar is a personal name, likely a variant spelling of the name Barindra used in similar cultural or linguistic contexts.
  • 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: Hazari Pal
Triple: [City of Joy, character, Hazari Pal]
Generated description
Hazari Pal is a central character in the film "City of Joy," depicted as a poor but determined villager who moves to Calcutta seeking a better life for his family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hazari Pal
Target entity description: Hazari Pal is a central character in the film "City of Joy," depicted as a poor but determined villager who moves to Calcutta seeking a better life for his family.
  • A. Talwandi Bhai
    Talwandi Bhai is a small town in Punjab, India, known primarily as an agricultural and grain market hub.
  • B. Lakhani
    Lakhani is a town in the Banaskantha district of Gujarat, India, known as a local commercial and administrative center for the surrounding rural region.
  • C. Guhilot
    Guhilot is a prominent Rajput clan historically associated with the rulers of Mewar in present-day Rajasthan, India.
  • D. Balotra
    Balotra is a town in the Indian state of Rajasthan, known as a regional commercial center and textile hub within the Barmer district.
  • E. Barindar
    Barindar is a personal name, likely a variant spelling of the name Barindra used in similar cultural or linguistic contexts.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e82c1481908701f255b834f192 completed April 28, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a879f826881909cdad0edc6bde08d completed May 18, 2026, 3:29 a.m.
NEDg Description generation batch_6a0a884eb8248190b98b260d3d277d92 completed May 18, 2026, 3:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0a8901941c8190945a96d7f5578362 completed May 18, 2026, 3:35 a.m.
Created at: April 16, 2026, 8:29 p.m.