Triple
T22433427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mukti Bhawan |
E554552
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Rajiv |
—
|
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: Rajiv | Statement: [Mukti Bhawan, hasCharacter, Rajiv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rajiv Context triple: [Mukti Bhawan, hasCharacter, Rajiv]
-
A.
Rajiv
Rajiv is an Indian male given name most prominently associated with former Prime Minister Rajiv Gandhi.
-
B.
Rajan
Rajan is an ancient Indian royal title denoting a king or ruler, commonly used in early historic dynasties such as the Satavahanas.
-
C.
Rajiv Anchal
chosen
Rajiv Anchal is an Indian film director, sculptor, and art director best known for creating the monumental Jatayu sculpture at Jatayu Earth’s Center in Kerala.
-
D.
Ravi Kumar
Ravi Kumar is a computer scientist known for his contributions to theoretical computer science and algorithms, particularly in areas such as web search and data mining.
-
E.
Randhir
Randhir is an Indian actor, director, and producer best known as a member of the prominent Kapoor film family in Bollywood.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15adce9688190992ad0ca15883931 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 16, 2026, 8:47 p.m.