Triple
T16685665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paresh Rawal |
E405455
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sir
"Sir" is a 1993 Hindi-language drama film directed by Mahesh Bhatt, known for its emotional story about a principled college professor and featuring a acclaimed performance by Paresh Rawal.
|
E1227120
|
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: Sir | Statement: [Paresh Rawal, notableWork, Sir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir Context triple: [Paresh Rawal, notableWork, Sir]
-
A.
Sir
Sir is a formal English honorific title traditionally used to address or refer to a knight or baronet.
-
B.
SIR
SIR is the IATA airport code for Sion Airport, a regional airport serving the town of Sion in the Swiss canton of Valais.
-
C.
SIR
SIR is a professional medical society representing physicians who specialize in minimally invasive, image-guided interventional radiology procedures.
-
D.
Mr. Sir
Mr. Sir is the gruff, intimidating counselor at Camp Green Lake in Louis Sachar’s novel "Holes," known for his harsh treatment of the boys and his distinctive sunflower seed habit.
-
E.
Sir Te
Sir Te is a respected nobleman and mentor figure in the film "Crouching Tiger, Hidden Dragon," known for safeguarding the legendary sword Green Destiny.
- 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: Sir Triple: [Paresh Rawal, notableWork, Sir]
Generated description
"Sir" is a 1993 Hindi-language drama film directed by Mahesh Bhatt, known for its emotional story about a principled college professor and featuring a acclaimed performance by Paresh Rawal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sir Target entity description: "Sir" is a 1993 Hindi-language drama film directed by Mahesh Bhatt, known for its emotional story about a principled college professor and featuring a acclaimed performance by Paresh Rawal.
-
A.
Sir
Sir is a formal English honorific title traditionally used to address or refer to a knight or baronet.
-
B.
SIR
SIR is the IATA airport code for Sion Airport, a regional airport serving the town of Sion in the Swiss canton of Valais.
-
C.
SIR
SIR is a professional medical society representing physicians who specialize in minimally invasive, image-guided interventional radiology procedures.
-
D.
Mr. Sir
Mr. Sir is the gruff, intimidating counselor at Camp Green Lake in Louis Sachar’s novel "Holes," known for his harsh treatment of the boys and his distinctive sunflower seed habit.
-
E.
Sir Te
Sir Te is a respected nobleman and mentor figure in the film "Crouching Tiger, Hidden Dragon," known for safeguarding the legendary sword Green Destiny.
- 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.