Triple
T20417481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dil Vil Pyar Vyar |
E500749
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Tiku Talsania
Tiku Talsania is an Indian film and television actor known for his comic and character roles in numerous Hindi movies and TV shows.
|
E1430384
|
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: Tiku Talsania | Statement: [Dil Vil Pyar Vyar, hasCastMember, Tiku Talsania]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiku Talsania Context triple: [Dil Vil Pyar Vyar, hasCastMember, Tiku Talsania]
-
A.
Gorrindo Sarli
Gorrindo Sarli is the compound surname of Argentine actress and sex symbol Isabel Sarli, reflecting her full family name.
-
B.
Taliska
Taliska is a Mannish language of Middle-earth in J.R.R. Tolkien’s legendarium, spoken by the early Men of Beleriand.
-
C.
Thaulios
Thaulios is an epithet of the Greek god Zeus, worshipped in a specific local aspect associated with a dedicated sanctuary.
-
D.
Peiwar Kotal
Peiwar Kotal is a strategically important mountain pass in Afghanistan that served as a key battleground during the Second Anglo-Afghan War.
-
E.
Trudo Toren
Trudo Toren is a distinctive residential high-rise in Eindhoven known for its vertical forest design featuring abundant greenery integrated into its façade.
- 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: Tiku Talsania Triple: [Dil Vil Pyar Vyar, hasCastMember, Tiku Talsania]
Generated description
Tiku Talsania is an Indian film and television actor known for his comic and character roles in numerous Hindi movies and TV shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiku Talsania Target entity description: Tiku Talsania is an Indian film and television actor known for his comic and character roles in numerous Hindi movies and TV shows.
-
A.
Gorrindo Sarli
Gorrindo Sarli is the compound surname of Argentine actress and sex symbol Isabel Sarli, reflecting her full family name.
-
B.
Taliska
Taliska is a Mannish language of Middle-earth in J.R.R. Tolkien’s legendarium, spoken by the early Men of Beleriand.
-
C.
Thaulios
Thaulios is an epithet of the Greek god Zeus, worshipped in a specific local aspect associated with a dedicated sanctuary.
-
D.
Peiwar Kotal
Peiwar Kotal is a strategically important mountain pass in Afghanistan that served as a key battleground during the Second Anglo-Afghan War.
-
E.
Trudo Toren
Trudo Toren is a distinctive residential high-rise in Eindhoven known for its vertical forest design featuring abundant greenery integrated into its façade.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a44ecf48190ba5a3872af500dc8 |
completed | April 20, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883f006748190ac1c516e9623637e |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a08844e244081909fe8b2dc54e3a8fc |
completed | May 16, 2026, 2:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0884b3fe308190b3d2e7e2db5c3493 |
completed | May 16, 2026, 2:52 p.m. |
Created at: April 16, 2026, 11:30 a.m.