Triple
T14502205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamil Nadu cricket team |
E340169
|
entity |
| Predicate | notablePlayer |
P304
|
FINISHED |
| Object |
Vijay Shankar
Vijay Shankar is an Indian all-round cricketer who has represented India in limited-overs internationals and plays domestic cricket for Tamil Nadu.
|
E1102617
|
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: Vijay Shankar | Statement: [Tamil Nadu cricket team, notablePlayer, Vijay Shankar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vijay Shankar Context triple: [Tamil Nadu cricket team, notablePlayer, Vijay Shankar]
-
A.
Vijay Vasudevan
Vijay Vasudevan is a computer scientist known for his work in machine learning and systems research, including co-authoring influential papers with Christian Szegedy.
-
B.
Vikram Kumar
Vikram Kumar is an Indian film director and screenwriter known for his work in Tamil and Telugu cinema, including acclaimed films like "24" and "Manam."
-
C.
Srinivas Mohan
Srinivas Mohan is an acclaimed Indian visual effects supervisor known for his pioneering VFX work in major South Indian films.
-
D.
Aravind Joshi
Aravind Joshi was an Indian-American computer scientist and computational linguist known for pioneering work in formal grammar formalisms, particularly Tree Adjoining Grammars, and for foundational contributions to natural language processing.
-
E.
Vinod Subramaniam
Vinod Subramaniam is an Indian-born physicist and academic leader known for his research in biophysics and for serving in top administrative roles at Dutch universities.
- 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: Vijay Shankar Triple: [Tamil Nadu cricket team, notablePlayer, Vijay Shankar]
Generated description
Vijay Shankar is an Indian all-round cricketer who has represented India in limited-overs internationals and plays domestic cricket for Tamil Nadu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vijay Shankar Target entity description: Vijay Shankar is an Indian all-round cricketer who has represented India in limited-overs internationals and plays domestic cricket for Tamil Nadu.
-
A.
Vijay Vasudevan
Vijay Vasudevan is a computer scientist known for his work in machine learning and systems research, including co-authoring influential papers with Christian Szegedy.
-
B.
Vikram Kumar
Vikram Kumar is an Indian film director and screenwriter known for his work in Tamil and Telugu cinema, including acclaimed films like "24" and "Manam."
-
C.
Srinivas Mohan
Srinivas Mohan is an acclaimed Indian visual effects supervisor known for his pioneering VFX work in major South Indian films.
-
D.
Aravind Joshi
Aravind Joshi was an Indian-American computer scientist and computational linguist known for pioneering work in formal grammar formalisms, particularly Tree Adjoining Grammars, and for foundational contributions to natural language processing.
-
E.
Vinod Subramaniam
Vinod Subramaniam is an Indian-born physicist and academic leader known for his research in biophysics and for serving in top administrative roles at Dutch universities.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e0f9048190a2d266cfa4f9dfb6 |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9b6f7481908b7eb76226a93545 |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6efed3108190a524c64adf740303 |
completed | May 8, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6f8648408190aed910a7f269abee |
completed | May 8, 2026, 5:07 a.m. |
Created at: April 10, 2026, 1:21 a.m.