Triple
T21428507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Thursday |
E528622
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Jitendra Shastri
Jitendra Shastri was an Indian actor known for his character roles in Hindi films and television.
|
E1494440
|
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: Jitendra Shastri | Statement: [A Thursday, castMember, Jitendra Shastri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jitendra Shastri Context triple: [A Thursday, castMember, Jitendra Shastri]
-
A.
Lakshmikant Dixit
Lakshmikant Dixit is a Hindu priest and scholar known for leading the consecration rituals at the Ram Mandir in Ayodhya.
-
B.
Sushilkumar Shinde
Sushilkumar Shinde is an Indian politician from the Indian National Congress who has served as Chief Minister of Maharashtra and as the Union Home Minister of India.
-
C.
Rajendra Arlekar
Rajendra Arlekar is an Indian politician and member of the Bharatiya Janata Party who has served as a state governor and previously held roles in legislative and party leadership.
-
D.
Anant Chaturvedi
Anant Chaturvedi is an Indian cinematographer known for his work on Bollywood films, including the comedy "Apna Sapna Money Money."
-
E.
Brij Mohan
Brij Mohan is the given name of B. M. Kaul, an individual identifiable by the initials B.M. Kaul.
- 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: Jitendra Shastri Triple: [A Thursday, castMember, Jitendra Shastri]
Generated description
Jitendra Shastri was an Indian actor known for his character roles in Hindi films and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jitendra Shastri Target entity description: Jitendra Shastri was an Indian actor known for his character roles in Hindi films and television.
-
A.
Lakshmikant Dixit
Lakshmikant Dixit is a Hindu priest and scholar known for leading the consecration rituals at the Ram Mandir in Ayodhya.
-
B.
Sushilkumar Shinde
Sushilkumar Shinde is an Indian politician from the Indian National Congress who has served as Chief Minister of Maharashtra and as the Union Home Minister of India.
-
C.
Rajendra Arlekar
Rajendra Arlekar is an Indian politician and member of the Bharatiya Janata Party who has served as a state governor and previously held roles in legislative and party leadership.
-
D.
Anant Chaturvedi
Anant Chaturvedi is an Indian cinematographer known for his work on Bollywood films, including the comedy "Apna Sapna Money Money."
-
E.
Brij Mohan
Brij Mohan is the given name of B. M. Kaul, an individual identifiable by the initials B.M. Kaul.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3e74bcc81909ad66e3c59152ffc |
completed | April 22, 2026, 11:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a0f7f236081909986f17b2fbb1ddb |
completed | May 17, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_6a0a10106ab4819096045effbbdfe95e |
completed | May 17, 2026, 6:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a10c8c5bc8190add0ee63eb338964 |
completed | May 17, 2026, 7:02 p.m. |
Created at: April 16, 2026, 5:49 p.m.