Triple

T21109494
Position Surface form Disambiguated ID Type / Status
Subject Mollywood E520135 entity
Predicate hasNotableActress P17435 FINISHED
Object Shobana
Shobana is an acclaimed Indian film actress and classical Bharatanatyam dancer best known for her powerful performances in Malayalam cinema.
 E1468769 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: Shobana | Statement: [Mollywood, hasNotableActress, Shobana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shobana
Context triple: [Mollywood, hasNotableActress, Shobana]
  • A. Anasuya
    Anasuya is a revered sage and exemplar of chastity and devotion in Hindu tradition, celebrated as the wife of the rishi Atri and mother of the divine Trimurti incarnations.
  • B. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • C. 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.
  • D. Tanuja
    Tanuja is a veteran Indian film actress known for her work in Hindi and Bengali cinema and as a prominent member of the Mukherjee-Samarth film family.
  • E. Sarala
    Sarala is the given name of Sarala Devi Chaudhurani, an Indian feminist, educationist, and nationalist leader active in the late 19th and early 20th centuries.
  • 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: Shobana
Triple: [Mollywood, hasNotableActress, Shobana]
Generated description
Shobana is an acclaimed Indian film actress and classical Bharatanatyam dancer best known for her powerful performances in Malayalam cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shobana
Target entity description: Shobana is an acclaimed Indian film actress and classical Bharatanatyam dancer best known for her powerful performances in Malayalam cinema.
  • A. Anasuya
    Anasuya is a revered sage and exemplar of chastity and devotion in Hindu tradition, celebrated as the wife of the rishi Atri and mother of the divine Trimurti incarnations.
  • B. Aruna
    Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
  • C. 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.
  • D. Tanuja
    Tanuja is a veteran Indian film actress known for her work in Hindi and Bengali cinema and as a prominent member of the Mukherjee-Samarth film family.
  • E. Sarala
    Sarala is the given name of Sarala Devi Chaudhurani, an Indian feminist, educationist, and nationalist leader active in the late 19th and early 20th centuries.
  • 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_6a096db285b081909a67cb19039bed34 completed May 17, 2026, 7:26 a.m.
NEDg Description generation batch_6a096e5c14c48190a6fecb4171ac290b completed May 17, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_6a096eb033c88190ad2a5279d292e448 completed May 17, 2026, 7:30 a.m.
Created at: April 16, 2026, 2:54 p.m.