Triple

T21109167
Position Surface form Disambiguated ID Type / Status
Subject Gulzar E520129 entity
Predicate notableWork P4 FINISHED
Object Angoor
Angoor is a 1982 Hindi comedy film directed by Gulzar, celebrated for its witty adaptation of Shakespeare’s "The Comedy of Errors" and its classic double-role performances.
 E1466794 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: Angoor | Statement: [Gulzar, notableWork, Angoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Angoor
Context triple: [Gulzar, notableWork, Angoor]
  • A. Cossipore
    Cossipore is a neighborhood in northern Kolkata, India, historically notable as the place where the 19th-century mystic Sri Ramakrishna (Gadadhar Chattopadhyay) spent his final days.
  • B. Argaum
    Argaum is a village in Maharashtra, India, historically notable as the site of a major battle during the Second Anglo-Maratha War.
  • C. Bairat
    Bairat is a historic town in Rajasthan, India, known for its ancient Buddhist archaeological remains and connections to the Mauryan period.
  • D. Saroornagar
    Saroornagar is a residential and commercial suburb in Hyderabad, Telangana, known for its lake, park, and dense urban neighborhoods.
  • E. Balwa
    Balwa is a municipality-level city located in Nepal's Madhesh Province.
  • 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: Angoor
Triple: [Gulzar, notableWork, Angoor]
Generated description
Angoor is a 1982 Hindi comedy film directed by Gulzar, celebrated for its witty adaptation of Shakespeare’s "The Comedy of Errors" and its classic double-role performances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Angoor
Target entity description: Angoor is a 1982 Hindi comedy film directed by Gulzar, celebrated for its witty adaptation of Shakespeare’s "The Comedy of Errors" and its classic double-role performances.
  • A. Cossipore
    Cossipore is a neighborhood in northern Kolkata, India, historically notable as the place where the 19th-century mystic Sri Ramakrishna (Gadadhar Chattopadhyay) spent his final days.
  • B. Argaum
    Argaum is a village in Maharashtra, India, historically notable as the site of a major battle during the Second Anglo-Maratha War.
  • C. Bairat
    Bairat is a historic town in Rajasthan, India, known for its ancient Buddhist archaeological remains and connections to the Mauryan period.
  • D. Saroornagar
    Saroornagar is a residential and commercial suburb in Hyderabad, Telangana, known for its lake, park, and dense urban neighborhoods.
  • E. Balwa
    Balwa is a municipality-level city located in Nepal's Madhesh Province.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7210110a48190a6359b6732f6293d completed April 21, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a095a69219c8190ab5b106aa1375c6a completed May 17, 2026, 6:04 a.m.
NEDg Description generation batch_6a095b6d25f8819097334c13ef37003e completed May 17, 2026, 6:08 a.m.
NED2 Entity disambiguation (via description) batch_6a095c7c8840819087c9860a75314b83 completed May 17, 2026, 6:13 a.m.
Created at: April 16, 2026, 2:54 p.m.