Triple
T22755634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rekha |
E562834
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Ram Balram
Ram Balram is a 1980 Hindi action film starring Amitabh Bachchan, Dharmendra, and Zeenat Aman, known for its masala entertainment and popular music.
|
E1554159
|
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: Ram Balram | Statement: [Rekha, notableWork, Ram Balram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ram Balram Context triple: [Rekha, notableWork, Ram Balram]
-
A.
Ram Baran
Ram Baran is the given name of Ram Baran Yadav, the first president of Nepal.
-
B.
Ram Gupta
Ram Gupta is a cricket umpire best known for officiating in the 1987 Cricket World Cup Final between Australia and England.
-
C.
Ram Lal
Ram Lal is an Indian politician who has served as a Member of Parliament representing the Rae Bareli Lok Sabha constituency.
-
D.
Shyam
Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
-
E.
Amitabh Shukla
Amitabh Shukla is an Indian film editor known for his work on notable Bollywood films, including the historical drama "Mangal Pandey: The Rising."
- 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: Ram Balram Triple: [Rekha, notableWork, Ram Balram]
Generated description
Ram Balram is a 1980 Hindi action film starring Amitabh Bachchan, Dharmendra, and Zeenat Aman, known for its masala entertainment and popular music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ram Balram Target entity description: Ram Balram is a 1980 Hindi action film starring Amitabh Bachchan, Dharmendra, and Zeenat Aman, known for its masala entertainment and popular music.
-
A.
Ram Baran
Ram Baran is the given name of Ram Baran Yadav, the first president of Nepal.
-
B.
Ram Gupta
Ram Gupta is a cricket umpire best known for officiating in the 1987 Cricket World Cup Final between Australia and England.
-
C.
Ram Lal
Ram Lal is an Indian politician who has served as a Member of Parliament representing the Rae Bareli Lok Sabha constituency.
-
D.
Shyam
Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
-
E.
Amitabh Shukla
Amitabh Shukla is an Indian film editor known for his work on notable Bollywood films, including the historical drama "Mangal Pandey: The Rising."
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bd22588190ac724a656194f5b9 |
completed | April 29, 2026, 3:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b98133b7c819082b0c860bf61d35b |
completed | May 18, 2026, 10:52 p.m. |
| NEDg | Description generation | batch_6a0b98a4293881908121e8966fd701c5 |
completed | May 18, 2026, 10:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b99336c9c8190b22699e90c164f97 |
completed | May 18, 2026, 10:56 p.m. |
Created at: April 17, 2026, 3:25 p.m.