Triple
T19273771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welcome to Sajjanpur |
E481993
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Amrita Rao |
—
|
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: Amrita Rao | Statement: [Welcome to Sajjanpur, castMember, Amrita Rao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amrita Rao Context triple: [Welcome to Sajjanpur, castMember, Amrita Rao]
-
A.
Amrita Rao
chosen
Amrita Rao is an Indian film actress known for her roles in popular Hindi movies such as "Vivah," "Ishq Vishk," and "Main Hoon Na."
-
B.
Nandita Puri
Nandita Puri is an Indian journalist and author best known for her biography of her late husband, acclaimed actor Om Puri.
-
C.
Anuradha Paudwal
Anuradha Paudwal is a renowned Indian playback and devotional singer celebrated for her extensive work in Hindi cinema and bhajans since the 1970s.
-
D.
Nadira Babbar
Nadira Babbar is an Indian theatre director and actress known for her work in Hindi cinema and on stage, including a role in the film "Bride and Prejudice."
-
E.
Poonam Sinha
Poonam Sinha is an Indian actress and film producer known for her supporting roles in Hindi cinema and as the wife of veteran actor Shatrughan Sinha.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbba7758819081c1c78667c59c5e |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.