Triple
T2315500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raj Reddy |
E51053
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Reddy
Reddy is a common Indian surname associated with various communities, notably in the states of Andhra Pradesh and Telangana.
|
E255794
|
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: Reddy | Statement: [Raj Reddy, familyName, Reddy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reddy Context triple: [Raj Reddy, familyName, Reddy]
-
A.
Sanjay Reddy
Sanjay Reddy is an Indian economist known for his work in development economics, poverty measurement, and global justice.
-
B.
Shankar
Shankar is a prominent Indian film director best known for his big-budget, socially themed blockbuster movies in Tamil cinema.
-
C.
Ravi
Ravi is one of the major rivers of northern India and Pakistan, flowing through the Punjab region and serving as an important tributary of the Indus River system.
-
D.
Shyam
Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
-
E.
Venkata
Venkata is the given name of Indian physicist and Nobel laureate C. V. Raman, renowned for discovering the Raman effect in light scattering.
- 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: Reddy Triple: [Raj Reddy, familyName, Reddy]
Generated description
Reddy is a common Indian surname associated with various communities, notably in the states of Andhra Pradesh and Telangana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reddy Target entity description: Reddy is a common Indian surname associated with various communities, notably in the states of Andhra Pradesh and Telangana.
-
A.
Sanjay Reddy
Sanjay Reddy is an Indian economist known for his work in development economics, poverty measurement, and global justice.
-
B.
Shankar
Shankar is a prominent Indian film director best known for his big-budget, socially themed blockbuster movies in Tamil cinema.
-
C.
Ravi
Ravi is one of the major rivers of northern India and Pakistan, flowing through the Punjab region and serving as an important tributary of the Indus River system.
-
D.
Shyam
Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
-
E.
Venkata
Venkata is the given name of Indian physicist and Nobel laureate C. V. Raman, renowned for discovering the Raman effect in light scattering.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc61e72508190b335cda2c7fef130 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae896236f08190b3874854279bbdf7 |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8b0b27cc819099a5df60d678d3e2 |
completed | March 9, 2026, 8:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8b79633881908acf94f8db389c0f |
completed | March 9, 2026, 8:57 a.m. |
Created at: March 4, 2026, 7:49 p.m.