Triple
T16588969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanjay Leela Bhansali |
E403032
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Saawariya |
E829051
|
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: Saawariya | Statement: [Sanjay Leela Bhansali, notableWork, Saawariya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saawariya Context triple: [Sanjay Leela Bhansali, notableWork, Saawariya]
-
A.
Saawariya
chosen
Saawariya is a 2007 Hindi romantic drama film directed by Sanjay Leela Bhansali, known for its visually stylized, fairy-tale-like setting and the introduction of lead actors Ranbir Kapoor and Sonam Kapoor.
-
B.
Sa'ir
Sa'ir is a Palestinian town located in the southern West Bank, northeast of Hebron.
-
C.
Sattari
Sattari is a rural village located within the North Goa district of the Indian state of Goa.
-
D.
Sowari
Sowari is a town that serves as the administrative center of Buner District in Pakistan's Khyber Pakhtunkhwa province.
-
E.
Saeein
Saeein is an honorific title used in Sindhi culture to show deep respect, particularly for revered figures such as the nationalist leader and intellectual G. M. Syed.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599e79288190b6bcdb6fe4a2d1fa |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007599dcd4819089bbd0569b3d9a12 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:16 a.m.