Triple
T17914088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarzan Goes to India |
E447881
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Simi Garewal
Simi Garewal is an Indian actress and television personality known for her work in Hindi cinema and for hosting the popular talk show "Rendezvous with Simi Garewal."
|
E1296167
|
NE FINISHED |
How this triple was built (4 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: Simi Garewal | Statement: [Tarzan Goes to India, stars, Simi Garewal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simi Garewal Context triple: [Tarzan Goes to India, stars, Simi Garewal]
-
A.
Sunidhi Chauhan
Sunidhi Chauhan is a prominent Indian playback singer known for her powerful, versatile voice and numerous hit songs across Bollywood films.
-
B.
Simmi
Simmi is a low-lying locality or geographic feature in the Swiss municipality of Wildhaus, notable as its lowest elevation point.
-
C.
Simi
Simi is a Greek island in the Dodecanese archipelago in the southeastern Aegean Sea, near the coast of Turkey.
-
D.
Simi
"Simi" is a breakout mixtape by American rapper BlocBoy JB that helped raise his profile in the hip-hop scene.
-
E.
Simi
Simi is a Nigerian singer, songwriter, and sound engineer known for her soulful vocals and blend of Afropop, R&B, and contemporary highlife.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Simi Garewal Triple: [Tarzan Goes to India, stars, Simi Garewal]
Generated description
Simi Garewal is an Indian actress and television personality known for her work in Hindi cinema and for hosting the popular talk show "Rendezvous with Simi Garewal."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simi Garewal Target entity description: Simi Garewal is an Indian actress and television personality known for her work in Hindi cinema and for hosting the popular talk show "Rendezvous with Simi Garewal."
-
A.
Sunidhi Chauhan
Sunidhi Chauhan is a prominent Indian playback singer known for her powerful, versatile voice and numerous hit songs across Bollywood films.
-
B.
Simmi
Simmi is a low-lying locality or geographic feature in the Swiss municipality of Wildhaus, notable as its lowest elevation point.
-
C.
Simi
Simi is a Greek island in the Dodecanese archipelago in the southeastern Aegean Sea, near the coast of Turkey.
-
D.
Simi
"Simi" is a breakout mixtape by American rapper BlocBoy JB that helped raise his profile in the hip-hop scene.
-
E.
Simi
Simi is a Nigerian singer, songwriter, and sound engineer known for her soulful vocals and blend of Afropop, R&B, and contemporary highlife.
- F. None of above. chosen
Provenance (5 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a30461848190b932a45807329216 |
completed | April 19, 2026, 9:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03212ab44c81909120d15c283d1c3c |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a03220af8dc8190aec1469d5c3d63be |
completed | May 12, 2026, 12:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a032277e9c8819084a9d4c6f559bebc |
completed | May 12, 2026, 12:52 p.m. |
Created at: April 10, 2026, 10:20 a.m.