Triple
T4028680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Now Show |
E83653
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Nish Kumar
Nish Kumar is a British stand-up comedian, actor, and radio presenter known for his sharp political satire and appearances on various UK comedy shows.
|
E409445
|
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: Nish Kumar | Statement: [The Now Show, hasCastMember, Nish Kumar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nish Kumar Context triple: [The Now Show, hasCastMember, Nish Kumar]
-
A.
Nirvikar Singh
Nirvikar Singh is an economist and academic known for his contributions to economic theory and policy, associated with leading institutions such as the Delhi School of Economics.
-
B.
Vijay Kumar
Vijay Kumar is a prominent roboticist and engineer known for his pioneering work in multi-robot systems and aerial robotics.
-
C.
Anshu Jain
Anshu Jain was a prominent investment banker best known as the former co-CEO of Deutsche Bank and later a senior executive at Cantor Fitzgerald.
-
D.
Rahul Banga
Rahul Banga is an individual notable enough to be recognized as a prominent bearer of the surname Banga.
-
E.
Yogesh Singh
Yogesh Singh is an Indian academic and administrator who serves as the Vice-Chancellor of the University 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: Nish Kumar Triple: [The Now Show, hasCastMember, Nish Kumar]
Generated description
Nish Kumar is a British stand-up comedian, actor, and radio presenter known for his sharp political satire and appearances on various UK comedy shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nish Kumar Target entity description: Nish Kumar is a British stand-up comedian, actor, and radio presenter known for his sharp political satire and appearances on various UK comedy shows.
-
A.
Nirvikar Singh
Nirvikar Singh is an economist and academic known for his contributions to economic theory and policy, associated with leading institutions such as the Delhi School of Economics.
-
B.
Vijay Kumar
Vijay Kumar is a prominent roboticist and engineer known for his pioneering work in multi-robot systems and aerial robotics.
-
C.
Anshu Jain
Anshu Jain was a prominent investment banker best known as the former co-CEO of Deutsche Bank and later a senior executive at Cantor Fitzgerald.
-
D.
Rahul Banga
Rahul Banga is an individual notable enough to be recognized as a prominent bearer of the surname Banga.
-
E.
Yogesh Singh
Yogesh Singh is an Indian academic and administrator who serves as the Vice-Chancellor of the University 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaf066b08190afbb4a18ddc8d67e |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b556358f148190be7008092d0023af |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b55a5b292481908723530461bad562 |
completed | March 14, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55ae09ac48190a014aaf5b309e029 |
completed | March 14, 2026, 12:56 p.m. |
Created at: March 9, 2026, 3:36 p.m.