Triple
T7766097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niranjan Pal |
E176148
|
entity |
| Predicate | collaboratedWith |
P435
|
FINISHED |
| Object |
Himanshu Rai
Himanshu Rai was a prominent Indian actor and pioneering film producer-director, best known for co-founding Bombay Talkies and helping shape early Indian cinema.
|
E688284
|
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: Himanshu Rai | Statement: [Niranjan Pal, collaboratedWith, Himanshu Rai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Himanshu Rai Context triple: [Niranjan Pal, collaboratedWith, Himanshu Rai]
-
A.
Deepak Kapur
Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
-
B.
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."
-
C.
Manoj Tiwary
Manoj Tiwary is an Indian cricketer known primarily as a prolific middle-order batsman in domestic cricket and a former international player for India.
-
D.
Anup Kumar
Anup Kumar is an Indian kabaddi player renowned for his leadership of the national team and his success in the Pro Kabaddi League.
-
E.
Rohit Ghai
Rohit Ghai is a technology executive best known for serving as the CEO of cybersecurity company RSA Security.
- 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: Himanshu Rai Triple: [Niranjan Pal, collaboratedWith, Himanshu Rai]
Generated description
Himanshu Rai was a prominent Indian actor and pioneering film producer-director, best known for co-founding Bombay Talkies and helping shape early Indian cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Himanshu Rai Target entity description: Himanshu Rai was a prominent Indian actor and pioneering film producer-director, best known for co-founding Bombay Talkies and helping shape early Indian cinema.
-
A.
Deepak Kapur
Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
-
B.
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."
-
C.
Manoj Tiwary
Manoj Tiwary is an Indian cricketer known primarily as a prolific middle-order batsman in domestic cricket and a former international player for India.
-
D.
Anup Kumar
Anup Kumar is an Indian kabaddi player renowned for his leadership of the national team and his success in the Pro Kabaddi League.
-
E.
Rohit Ghai
Rohit Ghai is a technology executive best known for serving as the CEO of cybersecurity company RSA Security.
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7043279748190b30882e9cc6cca54 |
completed | March 27, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8d6d0f1988190b4df650bebb61fd3 |
completed | March 29, 2026, 7:37 a.m. |
| NEDg | Description generation | batch_69c8d7e5d7c48190976ca9ed6b638d94 |
completed | March 29, 2026, 7:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8d85575a881908fcbb3a97884eb2c |
completed | March 29, 2026, 7:44 a.m. |
Created at: March 27, 2026, 4:09 p.m.