Triple

T22012299
Position Surface form Disambiguated ID Type / Status
Subject Black (2005 film) E543606 entity
Predicate screenwriter P2831 FINISHED
Object Bhavani Iyer
Bhavani Iyer is an Indian screenwriter best known for her work on acclaimed Hindi films and television series, including the critically lauded drama "Black."
E1536726 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: Bhavani Iyer | Statement: [Black (2005 film), screenwriter, Bhavani Iyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhavani Iyer
Context triple: [Black (2005 film), screenwriter, Bhavani Iyer]
  • A. Bhavani Choudhry
    Bhavani Choudhry is a fictional character from the 1994 Hindi action drama film "Vijaypath."
  • B. Srinidhi Rangarajan
    Srinidhi Rangarajan is an Indian professional best known as the wife of politician and businessman Karti Chidambaram, son of former Indian finance minister P. Chidambaram.
  • C. Jayshree Ullal
    Jayshree Ullal is an Indian-American business executive best known as the longtime president and CEO of cloud networking company Arista Networks.
  • D. Sukanya Rajan
    Sukanya Rajan is the widow of legendary Indian sitar virtuoso Ravi Shankar and the mother of musician Anoushka Shankar.
  • E. Meera Menon
    Meera Menon is an American film and television director known for her work on independent features and acclaimed TV series.
  • 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: Bhavani Iyer
Triple: [Black (2005 film), screenwriter, Bhavani Iyer]
Generated description
Bhavani Iyer is an Indian screenwriter best known for her work on acclaimed Hindi films and television series, including the critically lauded drama "Black."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bhavani Iyer
Target entity description: Bhavani Iyer is an Indian screenwriter best known for her work on acclaimed Hindi films and television series, including the critically lauded drama "Black."
  • A. Bhavani Choudhry
    Bhavani Choudhry is a fictional character from the 1994 Hindi action drama film "Vijaypath."
  • B. Srinidhi Rangarajan
    Srinidhi Rangarajan is an Indian professional best known as the wife of politician and businessman Karti Chidambaram, son of former Indian finance minister P. Chidambaram.
  • C. Jayshree Ullal
    Jayshree Ullal is an Indian-American business executive best known as the longtime president and CEO of cloud networking company Arista Networks.
  • D. Sukanya Rajan
    Sukanya Rajan is the widow of legendary Indian sitar virtuoso Ravi Shankar and the mother of musician Anoushka Shankar.
  • E. Meera Menon
    Meera Menon is an American film and television director known for her work on independent features and acclaimed TV series.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a520bc8190865f525a87255fb2 completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0b0c554fac81908e6159bba70e310e completed May 18, 2026, 12:55 p.m.
NEDg Description generation batch_6a0b0cfa58cc819085e976bf76fbf149 completed May 18, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0b0d534f1481908e74f754426d321f completed May 18, 2026, 1 p.m.
Created at: April 16, 2026, 8:22 p.m.