Triple
T15676574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lara Dutta |
E377457
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Masti
Masti is a 2004 Indian Hindi-language adult comedy film known for its mix of slapstick humor and marital infidelity themes, featuring Lara Dutta in a prominent role.
|
E1170607
|
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: Masti | Statement: [Lara Dutta, notableWork, Masti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masti Context triple: [Lara Dutta, notableWork, Masti]
-
A.
Muellama
Muellama is an indigenous Barbacoan language spoken by a small community in the Andean region of South America.
-
B.
Masmo
Masmo is a residential district in the southern suburbs of Stockholm, Sweden, known for its metro station on the red line and proximity to green areas and Lake Mälaren.
-
C.
Mankessim
Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
-
D.
Menapii
The Menapii were an ancient Belgic tribe inhabiting parts of what are now northern France and Belgium, known from Julius Caesar’s accounts of the Gallic Wars.
-
E.
Menostanes
Menostanes was an Achaemenid Persian nobleman known for his role in the violent dynastic struggles following the reign of Xerxes II.
- 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: Masti Triple: [Lara Dutta, notableWork, Masti]
Generated description
Masti is a 2004 Indian Hindi-language adult comedy film known for its mix of slapstick humor and marital infidelity themes, featuring Lara Dutta in a prominent role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Masti Target entity description: Masti is a 2004 Indian Hindi-language adult comedy film known for its mix of slapstick humor and marital infidelity themes, featuring Lara Dutta in a prominent role.
-
A.
Muellama
Muellama is an indigenous Barbacoan language spoken by a small community in the Andean region of South America.
-
B.
Masmo
Masmo is a residential district in the southern suburbs of Stockholm, Sweden, known for its metro station on the red line and proximity to green areas and Lake Mälaren.
-
C.
Mankessim
Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
-
D.
Menapii
The Menapii were an ancient Belgic tribe inhabiting parts of what are now northern France and Belgium, known from Julius Caesar’s accounts of the Gallic Wars.
-
E.
Menostanes
Menostanes was an Achaemenid Persian nobleman known for his role in the violent dynastic struggles following the reign of Xerxes II.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2e10a4819097eba1ea31e36ac2 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee0446881909e9c2504d51d49a3 |
completed | May 9, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69ff6fb61144819085460226d406161d |
completed | May 9, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff705b1ea08190bf08b99c19715e57 |
completed | May 9, 2026, 5:35 p.m. |
Created at: April 10, 2026, 4:16 a.m.