Triple
T17960743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trinbago Knight Riders |
E449073
|
entity |
| Predicate | coOwner |
P347
|
FINISHED |
| Object | Jay Mehta |
—
|
NE NERFINISHED |
How this triple was built (2 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: Jay Mehta | Statement: [Trinbago Knight Riders, coOwner, Jay Mehta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Mehta Context triple: [Trinbago Knight Riders, coOwner, Jay Mehta]
-
A.
Jay Mehta
chosen
Jay Mehta is an Indian businessman and industrialist, known for his interests in cement and other industries and for being married to actress Juhi Chawla.
-
B.
Nick Mehta
Nick Mehta is a technology executive best known as the CEO of Gainsight and a prominent advocate and thought leader in the field of customer success.
-
C.
Akash Malhotra
Akash Malhotra is a carefree, witty young man whose emotional growth and evolving friendships form a central arc of the Bollywood film "Dil Chahta Hai."
-
D.
Manish Dayal
Manish Dayal is an American actor best known for his leading role in the film "The Hundred-Foot Journey" and for his work in television series such as "The Resident."
-
E.
Harish Patel
Harish Patel is an Indian character actor known for his extensive work in Hindi cinema and television, as well as for appearing in international projects such as Marvel’s Eternals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b131fa8481908cd756f350eb6359 |
completed | April 19, 2026, 10:40 a.m. |
Created at: April 10, 2026, 10:22 a.m.