Triple
T22292137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sinhasan |
E551023
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Reema Lagoo |
—
|
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: Reema Lagoo | Statement: [Sinhasan, hasCastMember, Reema Lagoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reema Lagoo Context triple: [Sinhasan, hasCastMember, Reema Lagoo]
-
A.
Reema Lagoo
chosen
Reema Lagoo was a prominent Indian film, television, and theatre actress best known for playing iconic motherly roles in Hindi and Marathi cinema.
-
B.
Nandini Salgaonkar
Nandini Salgaonkar is a central character in the Indian thriller film series "Drishyam," known as Vijay Salgaonkar’s wife whose family becomes entangled in a tense crime and cover-up.
-
C.
Persis Khambatta
Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
-
D.
Seema Patel
Seema Patel is a confident, successful real estate broker and one of Carrie Bradshaw’s new friends introduced in the Sex and the City sequel series "And Just Like That..."
-
E.
Sumbul Desai
Sumbul Desai is a physician and Apple executive who leads the company’s health initiatives, including features related to wellness and medical research across its devices and services.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560d1ec48190ab86f158c94b677b |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 16, 2026, 8:41 p.m.