Triple

T8667457
Position Surface form Disambiguated ID Type / Status
Subject Ajith Kumar E205711 entity
Predicate notableWork P4 FINISHED
Object Dheena
Dheena is a 2001 Tamil action film directed by AR Murugadoss that significantly boosted Ajith Kumar’s mass-hero image and popularized his nickname “Thala.”
 E749963 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: Dheena | Statement: [Ajith Kumar, notableWork, Dheena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dheena
Context triple: [Ajith Kumar, notableWork, Dheena]
  • A. Soujanya
    Soujanya is the wife of renowned Indian film director and screenwriter Trivikram Srinivas.
  • B. Sundini
    Sundini is a narrow sound in the Faroe Islands that separates the islands of Eysturoy and Streymoy.
  • C. Aditi
    Aditi is a Vedic mother goddess in Hindu mythology, revered as the personification of boundlessness and the mother of many deities.
  • D. Sandhini Agarwal
    Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
  • E. Divya
    Divya is a renowned Kannada novel by U. R. Ananthamurthy that explores complex social and psychological themes in mid-20th-century India.
  • 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: Dheena
Triple: [Ajith Kumar, notableWork, Dheena]
Generated description
Dheena is a 2001 Tamil action film directed by AR Murugadoss that significantly boosted Ajith Kumar’s mass-hero image and popularized his nickname “Thala.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dheena
Target entity description: Dheena is a 2001 Tamil action film directed by AR Murugadoss that significantly boosted Ajith Kumar’s mass-hero image and popularized his nickname “Thala.”
  • A. Soujanya
    Soujanya is the wife of renowned Indian film director and screenwriter Trivikram Srinivas.
  • B. Sundini
    Sundini is a narrow sound in the Faroe Islands that separates the islands of Eysturoy and Streymoy.
  • C. Aditi
    Aditi is a Vedic mother goddess in Hindu mythology, revered as the personification of boundlessness and the mother of many deities.
  • D. Sandhini Agarwal
    Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
  • E. Divya
    Divya is a renowned Kannada novel by U. R. Ananthamurthy that explores complex social and psychological themes in mid-20th-century India.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a34b808190aa9aed9cdb2900e6 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd1ca88c8190a3b2ca79a7204248 completed April 2, 2026, 8:10 p.m.
NEDg Description generation batch_69cece8fcbcc8190832a66287bc8f833 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecff48600819086a15700cb947056 completed April 2, 2026, 8:22 p.m.
Created at: March 30, 2026, 6:31 p.m.