Triple
T9248338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venki Ramakrishnan |
E222254
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Venki
Venki is the commonly used nickname of Venki Ramakrishnan, the Nobel Prize–winning structural biologist known for his work on the ribosome.
|
E786511
|
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: Venki | Statement: [Venki Ramakrishnan, nickname, Venki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Venki Context triple: [Venki Ramakrishnan, nickname, Venki]
-
A.
Bhargavi
Bhargavi was an Indian woman known primarily as the first wife of iconic Tamil actor and politician M. G. Ramachandran.
-
B.
Shilpa
Shilpa is a pivotal transgender character in the Tamil film "Super Deluxe," known for her complex portrayal and emotional depth.
-
C.
Devaki
Devaki is a revered figure in Hindu mythology best known as the mother of Lord Krishna.
-
D.
Simhadri
Simhadri is a 2003 Telugu-language action drama film starring Jr. NTR that became one of director S. S. Rajamouli’s early commercial blockbusters.
-
E.
Vandana
Vandana is the first name of Vandana Shiva, an Indian scholar, environmental activist, and advocate of ecofeminism and sustainable agriculture.
- 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: Venki Triple: [Venki Ramakrishnan, nickname, Venki]
Generated description
Venki is the commonly used nickname of Venki Ramakrishnan, the Nobel Prize–winning structural biologist known for his work on the ribosome.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Venki Target entity description: Venki is the commonly used nickname of Venki Ramakrishnan, the Nobel Prize–winning structural biologist known for his work on the ribosome.
-
A.
Bhargavi
Bhargavi was an Indian woman known primarily as the first wife of iconic Tamil actor and politician M. G. Ramachandran.
-
B.
Shilpa
Shilpa is a pivotal transgender character in the Tamil film "Super Deluxe," known for her complex portrayal and emotional depth.
-
C.
Devaki
Devaki is a revered figure in Hindu mythology best known as the mother of Lord Krishna.
-
D.
Simhadri
Simhadri is a 2003 Telugu-language action drama film starring Jr. NTR that became one of director S. S. Rajamouli’s early commercial blockbusters.
-
E.
Vandana
Vandana is the first name of Vandana Shiva, an Indian scholar, environmental activist, and advocate of ecofeminism and sustainable agriculture.
- 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_69ca841d2b18819089f9faf5b2c2aec0 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd05f6d62c8190a1e33f1854767b47 |
completed | April 1, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077fed7888190a5d36bc2ee4c2bd2 |
completed | April 4, 2026, 2:31 a.m. |
| NEDg | Description generation | batch_69d0787b68ac819094acdec0ad7462ac |
completed | April 4, 2026, 2:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07900c7588190869c26dc76fe97e7 |
completed | April 4, 2026, 2:35 a.m. |
Created at: March 30, 2026, 7:31 p.m.