Triple

T25654758
Position Surface form Disambiguated ID Type / Status
Subject Joy Baba Felunath E643201 entity
Predicate castsActor P18965 FINISHED
Object Siddhartha Chatterjee
Siddhartha Chatterjee is an Indian actor best known for his role as Topshe in Satyajit Ray’s Feluda film series.
 E1711663 NE FINISHED

How this triple was built (3 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: Siddhartha Chatterjee | Statement: [Joy Baba Felunath, castsActor, Siddhartha Chatterjee]
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: Siddhartha Chatterjee
Triple: [Joy Baba Felunath, castsActor, Siddhartha Chatterjee]
Generated description
Siddhartha Chatterjee is an Indian actor best known for his role as Topshe in Satyajit Ray’s Feluda film series.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: castsActor
Context triple: [Joy Baba Felunath, castsActor, Siddhartha Chatterjee]
  • A. cast chosen
    Indicates that an agent selects and assigns a person or thing to play a specific role or function in a production or context.
  • B. castingNote
    Indicates that there is an explanatory note or comment about how a role was cast or performed in a production.
  • C. castBy
    Indicates that one entity (typically a role or character) is portrayed or performed by another entity (typically an actor or performer).
  • D. arePlayedBy
    Indicates that one or more performers (such as actors or musicians) carry out, interpret, or execute the referenced roles, characters, or pieces.
  • E. originalCastPerformer
    Indicates that a performer was part of the original cast in the first production or release of a work.
  • F. None of above.

Provenance (6 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_69e77e7d8a848190a98d0162325fd780 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5faeafa50819082a180ac76b05b57 completed May 2, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a112725c3608190b253a1bc8d32279e completed May 23, 2026, 4:03 a.m.
NEDg Description generation batch_6a115332f5048190a2470ab09bd1a223 completed May 23, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_6a11547029208190a798ff61077c9cbf completed May 23, 2026, 7:17 a.m.
PD Predicate disambiguation batch_69f4938262ac8190b41f922d0407d272 completed May 1, 2026, 11:50 a.m.
Created at: April 21, 2026, 6:31 p.m.