Triple
T16183137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirron Kher |
E392734
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Gautam Berry
Gautam Berry is an Indian businessman best known as the former husband of actress and politician Kirron Kher.
|
E1199347
|
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: Gautam Berry | Statement: [Kirron Kher, spouse, Gautam Berry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gautam Berry Context triple: [Kirron Kher, spouse, Gautam Berry]
-
A.
Gautam Kumar
Gautam Kumar is known as the son of legendary Indian Bengali actor Uttam Kumar.
-
B.
Rahul Banga
Rahul Banga is an individual notable enough to be recognized as a prominent bearer of the surname Banga.
-
C.
Gautam Krishna
Gautam Krishna is the son of prominent Telugu film actor Mahesh Babu and is known primarily as a celebrity child in the Indian entertainment industry.
-
D.
Rohan Murty
Rohan Murty is an Indian computer scientist, entrepreneur, and philanthropist, known for founding the Murty Classical Library of India and for his work in technology and academia.
-
E.
Rahul Bhatia
Rahul Bhatia is an Indian businessman best known as the co-founder and key architect of IndiGo’s rise into India’s largest low-cost airline.
- 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: Gautam Berry Triple: [Kirron Kher, spouse, Gautam Berry]
Generated description
Gautam Berry is an Indian businessman best known as the former husband of actress and politician Kirron Kher.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gautam Berry Target entity description: Gautam Berry is an Indian businessman best known as the former husband of actress and politician Kirron Kher.
-
A.
Gautam Kumar
Gautam Kumar is known as the son of legendary Indian Bengali actor Uttam Kumar.
-
B.
Rahul Banga
Rahul Banga is an individual notable enough to be recognized as a prominent bearer of the surname Banga.
-
C.
Gautam Krishna
Gautam Krishna is the son of prominent Telugu film actor Mahesh Babu and is known primarily as a celebrity child in the Indian entertainment industry.
-
D.
Rohan Murty
Rohan Murty is an Indian computer scientist, entrepreneur, and philanthropist, known for founding the Murty Classical Library of India and for his work in technology and academia.
-
E.
Rahul Bhatia
Rahul Bhatia is an Indian businessman best known as the co-founder and key architect of IndiGo’s rise into India’s largest low-cost airline.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205ef39081908da383abdebc2ccc |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff03400481908e66db8cf0213c15 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a0000ceba648190ac5ecefd34f10d4e |
completed | May 10, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00013fdb1c8190add653fc1cf30e44 |
completed | May 10, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:02 a.m.