Triple

T22111576
Position Surface form Disambiguated ID Type / Status
Subject Buniyaad E546429 entity
Predicate character P662 FINISHED
Object Satbir
Satbir is a fictional character from the acclaimed Indian television drama series "Buniyaad," which depicted the impact of the Partition of India on an extended Punjabi family.
 E1519646 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: Satbir | Statement: [Buniyaad, character, Satbir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Satbir
Context triple: [Buniyaad, character, Satbir]
  • A. Sajibu
    Sajibu is the first month of the traditional Meitei lunar calendar, marking the beginning of the new year in Manipur.
  • B. Masbat
    Masbat is a district within the Egyptian resort town of Dahab, known for its laid-back atmosphere, beachfront promenade, and proximity to popular Red Sea dive sites.
  • C. Sadachbia
    Sadachbia is a relatively bright star in the constellation Aquarius, known as one of the key stars marking the water bearer’s jar.
  • D. Sabile
    Sabile is a small Latvian town in the Kurzeme region, known for its historic wine hill and picturesque setting along the River Abava.
  • E. Sarkar
    Sarkar was a key revenue and administrative unit in the Maratha Empire, functioning as a mid-level territorial division for governance and tax collection.
  • 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: Satbir
Triple: [Buniyaad, character, Satbir]
Generated description
Satbir is a fictional character from the acclaimed Indian television drama series "Buniyaad," which depicted the impact of the Partition of India on an extended Punjabi family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Satbir
Target entity description: Satbir is a fictional character from the acclaimed Indian television drama series "Buniyaad," which depicted the impact of the Partition of India on an extended Punjabi family.
  • A. Sajibu
    Sajibu is the first month of the traditional Meitei lunar calendar, marking the beginning of the new year in Manipur.
  • B. Masbat
    Masbat is a district within the Egyptian resort town of Dahab, known for its laid-back atmosphere, beachfront promenade, and proximity to popular Red Sea dive sites.
  • C. Sadachbia
    Sadachbia is a relatively bright star in the constellation Aquarius, known as one of the key stars marking the water bearer’s jar.
  • D. Sabile
    Sabile is a small Latvian town in the Kurzeme region, known for its historic wine hill and picturesque setting along the River Abava.
  • E. Sarkar
    Sarkar was a key revenue and administrative unit in the Maratha Empire, functioning as a mid-level territorial division for governance and tax collection.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12949cc7881908898ca7dc130f57f completed April 28, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a8f175d2c819096d4a128307f2f67 completed May 18, 2026, 4:01 a.m.
NEDg Description generation batch_6a0a90ca49c48190b01c88ae7e841cb4 completed May 18, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0a915bd5748190afc5a5a6e9398564 completed May 18, 2026, 4:11 a.m.
Created at: April 16, 2026, 8:31 p.m.