Triple
T16183439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raja Hindustani |
E392740
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Bharat Singh
Bharat Singh is a film editor known for his work on the popular Hindi movie "Raja Hindustani."
|
E1205614
|
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: Bharat Singh | Statement: [Raja Hindustani, editedBy, Bharat Singh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bharat Singh Context triple: [Raja Hindustani, editedBy, Bharat Singh]
-
A.
Roshan Singh
Roshan Singh was an Indian revolutionary and freedom fighter associated with the Hindustan Republican Association who participated in anti-colonial activities against British rule in the early 20th century.
-
B.
Jagdanand Singh
Jagdanand Singh is an Indian politician and senior leader of the Rashtriya Janata Dal, known for his long-standing role in Bihar state politics.
-
C.
Tej Singh
Tej Singh was a prominent Sikh military leader and general who played a key role in the Anglo-Sikh Wars against the British in the mid-19th century.
-
D.
Sher Singh
Sher Singh was a 19th-century Maharaja of the Sikh Empire who briefly ruled Punjab during the turbulent period following Maharaja Ranjit Singh’s death.
-
E.
Beant Singh
Beant Singh was one of the Sikh bodyguards who assassinated Indian Prime Minister Indira Gandhi in 1984.
- 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: Bharat Singh Triple: [Raja Hindustani, editedBy, Bharat Singh]
Generated description
Bharat Singh is a film editor known for his work on the popular Hindi movie "Raja Hindustani."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bharat Singh Target entity description: Bharat Singh is a film editor known for his work on the popular Hindi movie "Raja Hindustani."
-
A.
Roshan Singh
Roshan Singh was an Indian revolutionary and freedom fighter associated with the Hindustan Republican Association who participated in anti-colonial activities against British rule in the early 20th century.
-
B.
Jagdanand Singh
Jagdanand Singh is an Indian politician and senior leader of the Rashtriya Janata Dal, known for his long-standing role in Bihar state politics.
-
C.
Tej Singh
Tej Singh was a prominent Sikh military leader and general who played a key role in the Anglo-Sikh Wars against the British in the mid-19th century.
-
D.
Sher Singh
Sher Singh was a 19th-century Maharaja of the Sikh Empire who briefly ruled Punjab during the turbulent period following Maharaja Ranjit Singh’s death.
-
E.
Beant Singh
Beant Singh was one of the Sikh bodyguards who assassinated Indian Prime Minister Indira Gandhi in 1984.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205ef39081908da383abdebc2ccc |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f860ecc8190be904fa793968d89 |
completed | May 10, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a00211bb2bc8190bc32492fd6de3bc3 |
completed | May 10, 2026, 6:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00221262288190b154d2e2c318d162 |
completed | May 10, 2026, 6:13 a.m. |
Created at: April 10, 2026, 5:02 a.m.