Triple
T12733308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ranvir Singh |
E304296
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ranvir |
E304296
|
NE FINISHED |
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: Ranvir | Statement: [Ranvir Singh, givenName, Ranvir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ranvir Context triple: [Ranvir Singh, givenName, Ranvir]
-
A.
Sunil
Sunil is an Indian actor known for his comedic and character roles in Telugu cinema, including a part in the film "Pushpa: The Rise."
-
B.
Randhir
Randhir is an Indian actor, director, and producer best known as a member of the prominent Kapoor film family in Bollywood.
-
C.
Shiv Roy
Shiv Roy is a central character in the television series "Succession," known as the politically savvy and morally conflicted daughter of media mogul Logan Roy.
-
D.
Suraj Bhan
Suraj Bhan was an Indian archaeologist noted for his work on the Indus Valley Civilization, including early research at the Rakhigarhi site.
-
E.
Ranvir Singh
chosen
Ranvir Singh is a British television presenter and journalist best known for her work on ITV’s Good Morning Britain and other news and current affairs programmes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646902408190b29268d864833b80 |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684e7dec08190b522a8f3bfde6fe2 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:26 p.m.