Triple

T8667676
Position Surface form Disambiguated ID Type / Status
Subject Subramaniapuram E205715 entity
Predicate starring P1507 FINISHED
Object Jai
Jai is an Indian actor best known for his work in Tamil cinema, particularly for his breakout performance in the critically acclaimed film "Subramaniapuram."
E749990 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: Jai | Statement: [Subramaniapuram, starring, Jai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jai
Context triple: [Subramaniapuram, starring, Jai]
  • A. Jai
    Jai is the given name of Australian actor Jai Courtney, known for his roles in action and blockbuster films.
  • B. Jai Pol
    Jai Pol is a historic victory gate at Mehrangarh Fort in Jodhpur, India, built to commemorate a Rajput military triumph.
  • C. Sanjay
    Sanjay is the given name of Sanjay Gandhi, an influential and controversial Indian politician and son of former Prime Minister Indira Gandhi.
  • D. Ajay
    Ajay is a common Indian male given name of Sanskrit origin, often interpreted to mean "unconquered" or "invincible."
  • E. Jaya
    Jaya is the given name of Indian actress and politician Jaya Bhaduri (also known as Jaya Bachchan).
  • 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: Jai
Triple: [Subramaniapuram, starring, Jai]
Generated description
Jai is an Indian actor best known for his work in Tamil cinema, particularly for his breakout performance in the critically acclaimed film "Subramaniapuram."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jai
Target entity description: Jai is an Indian actor best known for his work in Tamil cinema, particularly for his breakout performance in the critically acclaimed film "Subramaniapuram."
  • A. Jai
    Jai is the given name of Australian actor Jai Courtney, known for his roles in action and blockbuster films.
  • B. Jai Pol
    Jai Pol is a historic victory gate at Mehrangarh Fort in Jodhpur, India, built to commemorate a Rajput military triumph.
  • C. Sanjay
    Sanjay is the given name of Sanjay Gandhi, an influential and controversial Indian politician and son of former Prime Minister Indira Gandhi.
  • D. Ajay
    Ajay is a common Indian male given name of Sanskrit origin, often interpreted to mean "unconquered" or "invincible."
  • E. Jaya
    Jaya is the given name of Indian actress and politician Jaya Bhaduri (also known as Jaya Bachchan).
  • 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.