Triple
T22292078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinjra |
E551022
|
entity |
| Predicate | musicComposer |
P32102
|
FINISHED |
| Object |
Ram Kadam
Ram Kadam was an Indian music composer best known for his prolific and influential work in Marathi cinema and theatre.
|
E1528839
|
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 Kadam | Statement: [Pinjra, musicComposer, Ram Kadam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ram Kadam Context triple: [Pinjra, musicComposer, Ram Kadam]
-
A.
Janpath
Janpath is a major shopping and commercial street in central New Delhi, India, known for its bustling markets, handicraft stalls, and proximity to key government and tourist landmarks.
-
B.
Thakurji
Thakurji is a revered Hindu deity name commonly used for Shri Nathji, a form of Lord Krishna worshipped especially in the Pushtimarg tradition.
-
C.
Kamal Basti
Kamal Basti is a historic Jain temple in Belagavi, Karnataka, known for its intricate stone architecture and religious significance.
-
D.
Chaya Kadam
Chaya Kadam is an Indian actress known for her character roles in Hindi and Marathi films and television.
-
E.
Bhairon Marg
Bhairon Marg is a significant road in New Delhi, India, known for connecting key areas and providing access to major landmarks and transport routes.
- 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 Kadam Triple: [Pinjra, musicComposer, Ram Kadam]
Generated description
Ram Kadam was an Indian music composer best known for his prolific and influential work in Marathi cinema and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ram Kadam Target entity description: Ram Kadam was an Indian music composer best known for his prolific and influential work in Marathi cinema and theatre.
-
A.
Janpath
Janpath is a major shopping and commercial street in central New Delhi, India, known for its bustling markets, handicraft stalls, and proximity to key government and tourist landmarks.
-
B.
Thakurji
Thakurji is a revered Hindu deity name commonly used for Shri Nathji, a form of Lord Krishna worshipped especially in the Pushtimarg tradition.
-
C.
Kamal Basti
Kamal Basti is a historic Jain temple in Belagavi, Karnataka, known for its intricate stone architecture and religious significance.
-
D.
Chaya Kadam
Chaya Kadam is an Indian actress known for her character roles in Hindi and Marathi films and television.
-
E.
Bhairon Marg
Bhairon Marg is a significant road in New Delhi, India, known for connecting key areas and providing access to major landmarks and transport routes.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560d1ec48190ab86f158c94b677b |
completed | April 29, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0abcb1db708190867a631a29583908 |
completed | May 18, 2026, 7:16 a.m. |
| NEDg | Description generation | batch_6a0abdfae68c81909445ae82412f35c4 |
completed | May 18, 2026, 7:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0abf0bf9f88190baa7f6d55a8d9095 |
completed | May 18, 2026, 7:26 a.m. |
Created at: April 16, 2026, 8:41 p.m.