Triple
T14637829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The White Tiger |
E343650
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Vijay Maurya
Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
|
E1112620
|
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: Vijay Maurya | Statement: [The White Tiger, castMember, Vijay Maurya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vijay Maurya Context triple: [The White Tiger, castMember, Vijay Maurya]
-
A.
Vipin Sharma
Vipin Sharma is an Indian actor known for his character roles in Hindi cinema and streaming projects, including a prominent part in the action thriller film "Monkey Man."
-
B.
Vipin Kumar
Vipin Kumar is a prominent computer scientist known for his influential research in data mining and high-performance computing, particularly in applications to climate and earth sciences.
-
C.
Pradeep Rawat
Pradeep Rawat is an Indian actor best known for his villainous roles in films such as "Ghajini" and for character parts in major Hindi and regional cinema.
-
D.
Ajit Manocha
Ajit Manocha is a semiconductor industry executive and technologist known for his leadership roles at major chip manufacturing companies and his contributions to advancing global semiconductor innovation and collaboration.
-
E.
Naresh Kumar
Naresh Kumar is a senior Indian Administrative Service (IAS) officer who has served in top bureaucratic positions in the Government of Delhi.
- 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: Vijay Maurya Triple: [The White Tiger, castMember, Vijay Maurya]
Generated description
Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vijay Maurya Target entity description: Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
-
A.
Vipin Sharma
Vipin Sharma is an Indian actor known for his character roles in Hindi cinema and streaming projects, including a prominent part in the action thriller film "Monkey Man."
-
B.
Vipin Kumar
Vipin Kumar is a prominent computer scientist known for his influential research in data mining and high-performance computing, particularly in applications to climate and earth sciences.
-
C.
Pradeep Rawat
Pradeep Rawat is an Indian actor best known for his villainous roles in films such as "Ghajini" and for character parts in major Hindi and regional cinema.
-
D.
Ajit Manocha
Ajit Manocha is a semiconductor industry executive and technologist known for his leadership roles at major chip manufacturing companies and his contributions to advancing global semiconductor innovation and collaboration.
-
E.
Naresh Kumar
Naresh Kumar is a senior Indian Administrative Service (IAS) officer who has served in top bureaucratic positions in the Government of Delhi.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4aca6448190adf1042dfbfef716 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d2059081908150b6534aebb32f |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdda11b3a481908f9b9184801dc24b |
completed | May 8, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fddab28b0881908d873d43edd45c0c |
completed | May 8, 2026, 12:44 p.m. |
Created at: April 10, 2026, 1:26 a.m.