Triple
T20113794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Q & A |
E490400
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Vikas Swarup |
—
|
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: Vikas Swarup | Statement: [Q & A, author, Vikas Swarup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vikas Swarup Context triple: [Q & A, author, Vikas Swarup]
-
A.
Vikas Swarup
chosen
Vikas Swarup is an Indian diplomat and novelist best known for his debut novel "Q & A," which was adapted into the Oscar-winning film "Slumdog Millionaire."
-
B.
Vikram Seth
Vikram Seth is an acclaimed Indian author and poet best known for his epic novel "A Suitable Boy" and his diverse body of work spanning fiction, poetry, and non-fiction.
-
C.
Aravind Adiga
Aravind Adiga is an Indian writer and journalist best known for his Man Booker Prize–winning debut novel "The White Tiger."
-
D.
Chetan Bhagat
Chetan Bhagat is a popular Indian author, columnist, and motivational speaker known for his bestselling English-language novels that often depict contemporary Indian urban life.
-
E.
Tarun Tejpal
Tarun Tejpal is an Indian journalist, publisher, and novelist best known as the founder and former editor-in-chief of the investigative news magazine Tehelka.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e31af081908d8e0c867c388a73 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:29 p.m.