Triple
T21944410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rog |
E541898
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Himanshu Brahmbhatt
Himanshu Brahmbhatt is a film director best known for his work on the movie "Rog."
|
E1521599
|
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 Brahmbhatt | Statement: [Rog, director, Himanshu Brahmbhatt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Himanshu Brahmbhatt Context triple: [Rog, director, Himanshu Brahmbhatt]
-
A.
Bhargav Bhatt
Bhargav Bhatt is an Indian-American mathematician renowned for his influential work in arithmetic geometry and p-adic Hodge theory.
-
B.
Shashank Manohar
Shashank Manohar is an Indian cricket administrator and lawyer who has served as president of the BCCI and later became a leading reformist figure in global cricket governance.
-
C.
Kartikeya Sarabhai
Kartikeya Sarabhai is an Indian environmental educator and sustainability advocate, known for his leadership in environmental education and for being the son of space scientist Vikram Sarabhai.
-
D.
Saurabh Jha
Saurabh Jha is an astrophysicist known for his work on high-redshift supernovae and their use in studying cosmic expansion and dark energy.
-
E.
Rishub Jain
Rishub Jain is a researcher who contributed as a co-author to the influential 2021 Nature paper by Jumper et al. on the AlphaFold protein structure prediction system.
- 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 Brahmbhatt Triple: [Rog, director, Himanshu Brahmbhatt]
Generated description
Himanshu Brahmbhatt is a film director best known for his work on the movie "Rog."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Himanshu Brahmbhatt Target entity description: Himanshu Brahmbhatt is a film director best known for his work on the movie "Rog."
-
A.
Bhargav Bhatt
Bhargav Bhatt is an Indian-American mathematician renowned for his influential work in arithmetic geometry and p-adic Hodge theory.
-
B.
Shashank Manohar
Shashank Manohar is an Indian cricket administrator and lawyer who has served as president of the BCCI and later became a leading reformist figure in global cricket governance.
-
C.
Kartikeya Sarabhai
Kartikeya Sarabhai is an Indian environmental educator and sustainability advocate, known for his leadership in environmental education and for being the son of space scientist Vikram Sarabhai.
-
D.
Saurabh Jha
Saurabh Jha is an astrophysicist known for his work on high-redshift supernovae and their use in studying cosmic expansion and dark energy.
-
E.
Rishub Jain
Rishub Jain is a researcher who contributed as a co-author to the influential 2021 Nature paper by Jumper et al. on the AlphaFold protein structure prediction system.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a96e5e0308190a6dc4c4d5192b774 |
completed | May 18, 2026, 4:34 a.m. |
| NEDg | Description generation | batch_6a0a98873d44819099d861571a21bb4e |
completed | May 18, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a990173b88190ae92852b24456e85 |
completed | May 18, 2026, 4:43 a.m. |
Created at: April 16, 2026, 7:56 p.m.