Triple

T7122131
Position Surface form Disambiguated ID Type / Status
Subject Charulata E165972 entity
Predicate castMember P1668 FINISHED
Object Shailen Mukherjee
Shailen Mukherjee was an Indian actor known for his role in Satyajit Ray’s acclaimed Bengali film "Charulata."
E652793 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: Shailen Mukherjee | Statement: [Charulata, castMember, Shailen Mukherjee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shailen Mukherjee
Context triple: [Charulata, castMember, Shailen Mukherjee]
  • A. Shefali Chowdhury
    Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
  • B. Kanika Banerjee
    Kanika Banerjee was a renowned Indian Rabindra Sangeet vocalist celebrated for her emotive interpretations of Rabindranath Tagore’s songs.
  • C. Annet Mahendru
    Annet Mahendru is an American actress best known for her acclaimed role as Nina Sergeevna Krilova on the television series "The Americans."
  • D. Janina Gavankar
    Janina Gavankar is an American actress and musician known for her roles in television series such as "The L Word," "True Blood," and "The Morning Show," as well as for her work in video games and independent music.
  • E. Palak Patel
    Palak Patel is a film producer known for working on major Hollywood fantasy and action films, including "Snow White and the Huntsman."
  • 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: Shailen Mukherjee
Triple: [Charulata, castMember, Shailen Mukherjee]
Generated description
Shailen Mukherjee was an Indian actor known for his role in Satyajit Ray’s acclaimed Bengali film "Charulata."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shailen Mukherjee
Target entity description: Shailen Mukherjee was an Indian actor known for his role in Satyajit Ray’s acclaimed Bengali film "Charulata."
  • A. Shefali Chowdhury
    Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
  • B. Kanika Banerjee
    Kanika Banerjee was a renowned Indian Rabindra Sangeet vocalist celebrated for her emotive interpretations of Rabindranath Tagore’s songs.
  • C. Annet Mahendru
    Annet Mahendru is an American actress best known for her acclaimed role as Nina Sergeevna Krilova on the television series "The Americans."
  • D. Janina Gavankar
    Janina Gavankar is an American actress and musician known for her roles in television series such as "The L Word," "True Blood," and "The Morning Show," as well as for her work in video games and independent music.
  • E. Palak Patel
    Palak Patel is a film producer known for working on major Hollywood fantasy and action films, including "Snow White and the Huntsman."
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e6493fd88190b0c066a2ad74917c completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7daff33bc8190825078d791ff0b3a completed March 28, 2026, 1:43 p.m.
NEDg Description generation batch_69c7db989e548190b6f41e62b17a63cb completed March 28, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc06d7808190906b7f710e7d9843 completed March 28, 2026, 1:47 p.m.
Created at: March 27, 2026, 2:44 p.m.