Triple

T16183124
Position Surface form Disambiguated ID Type / Status
Subject Kirron Kher E392734 entity
Predicate givenName P17 FINISHED
Object Kiran
Kiran is the given name of Indian actress and politician Kirron Kher.
 E1199345 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: Kiran | Statement: [Kirron Kher, givenName, Kiran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiran
Context triple: [Kirron Kher, givenName, Kiran]
  • A. Kovai
    Kovai is the commonly used local name for Coimbatore, a major industrial and educational city in the South Indian state of Tamil Nadu.
  • B. Kishan
    Kishan is a male given name commonly used in India, often associated with Lord Krishna and prevalent across various Indian languages and cultures.
  • C. Ketaki
    Ketaki is a central female character in Rabindranath Tagore’s novel "Shesher Kobita," known for her modern outlook and complex romantic relationship with the protagonist, Amit.
  • D. Rajani
    Rajani is a Bengali novel by renowned 19th-century writer Bankim Chandra Chattopadhyay, noted for its exploration of social and emotional themes in colonial India.
  • E. Aruna
    Aruna is a figure in Hindu mythology known as the personified dawn and the divine charioteer who drives the sun god Surya across the sky.
  • 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: Kiran
Triple: [Kirron Kher, givenName, Kiran]
Generated description
Kiran is the given name of Indian actress and politician Kirron Kher.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiran
Target entity description: Kiran is the given name of Indian actress and politician Kirron Kher.
  • A. Kovai
    Kovai is the commonly used local name for Coimbatore, a major industrial and educational city in the South Indian state of Tamil Nadu.
  • B. Kishan
    Kishan is a male given name commonly used in India, often associated with Lord Krishna and prevalent across various Indian languages and cultures.
  • C. Ketaki
    Ketaki is a central female character in Rabindranath Tagore’s novel "Shesher Kobita," known for her modern outlook and complex romantic relationship with the protagonist, Amit.
  • D. Rajani
    Rajani is a Bengali novel by renowned 19th-century writer Bankim Chandra Chattopadhyay, noted for its exploration of social and emotional themes in colonial India.
  • E. Aruna
    Aruna is a figure in Hindu mythology known as the personified dawn and the divine charioteer who drives the sun god Surya across the sky.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205ef39081908da383abdebc2ccc completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff03400481908e66db8cf0213c15 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a0000ceba648190ac5ecefd34f10d4e completed May 10, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_6a00013fdb1c8190add653fc1cf30e44 completed May 10, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:02 a.m.