Triple
T16685661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paresh Rawal |
E405455
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Welcome
"Welcome" is a popular 2007 Indian Bollywood comedy film known for its ensemble cast, slapstick humor, and memorable comic sequences.
|
E1227118
|
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: Welcome | Statement: [Paresh Rawal, notableWork, Welcome]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Welcome Context triple: [Paresh Rawal, notableWork, Welcome]
-
A.
Welcome
Welcome is an unincorporated rural community located in Coweta County, Georgia, United States.
-
B.
Welcome
"Welcome" is a 1973 jazz fusion–oriented studio album by the Latin rock band Santana, noted for its spiritual themes and experimental, progressive sound.
-
C.
Welcome
"Welcome" is a song best known for being part of the Back to Basics Tour setlist.
-
D.
Welcome
Welcome is a 2009 French drama film directed by Philippe Lioret, known for its poignant portrayal of an Iraqi Kurdish refugee in Calais who trains to swim the English Channel.
-
E.
Welkom
Welkom is a South African city in the Free State province known historically for its gold mining industry and planned urban layout.
- 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: Welcome Triple: [Paresh Rawal, notableWork, Welcome]
Generated description
"Welcome" is a popular 2007 Indian Bollywood comedy film known for its ensemble cast, slapstick humor, and memorable comic sequences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Welcome Target entity description: "Welcome" is a popular 2007 Indian Bollywood comedy film known for its ensemble cast, slapstick humor, and memorable comic sequences.
-
A.
Welcome
Welcome is an unincorporated rural community located in Coweta County, Georgia, United States.
-
B.
Welcome
Welcome is a 2009 French drama film directed by Philippe Lioret, known for its poignant portrayal of an Iraqi Kurdish refugee in Calais who trains to swim the English Channel.
-
C.
Welcome
"Welcome" is a 1973 jazz fusion–oriented studio album by the Latin rock band Santana, noted for its spiritual themes and experimental, progressive sound.
-
D.
Welcome
"Welcome" is a song best known for being part of the Back to Basics Tour setlist.
-
E.
Welkom
Welkom is a South African city in the Free State province known historically for its gold mining industry and planned urban layout.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea550c0819085bd36c44237a61a |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a43f6a08190913ca123a2377f95 |
completed | May 10, 2026, 1:38 p.m. |
| NEDg | Description generation | batch_6a008b001c988190b0ddec3be0ed6fd0 |
completed | May 10, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008b9a8b6481909df37edcecdd292c |
completed | May 10, 2026, 1:43 p.m. |
Created at: April 10, 2026, 5:19 a.m.