Triple
T6969609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nandi Awards |
E161568
|
entity |
| Predicate | hasAward |
P219
|
FINISHED |
| Object |
Silver Nandi
Silver Nandi is a prestigious category of the Nandi Awards presented by the Andhra Pradesh government to honor excellence in Telugu cinema.
|
E633163
|
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: Silver Nandi | Statement: [Nandi Awards, hasAward, Silver Nandi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silver Nandi Context triple: [Nandi Awards, hasAward, Silver Nandi]
-
A.
Silverbar
Silverbar is a central fish character in Rachel Carson’s nature book "Under the Sea-Wind," used to vividly portray marine life and ocean ecology.
-
B.
Nandi
Nandi is the sacred bull and devoted gatekeeper of the Hindu god Shiva, revered as a symbol of strength, righteousness, and dharma.
-
C.
Nandi
Nandi is a Southern Nilotic language spoken primarily by the Nandi people of western Kenya.
-
D.
Mizani
Mizani is a professional haircare brand known for its salon-quality products formulated specifically for textured, curly, and coily hair.
-
E.
Niulakita
Niulakita is the southernmost island of Tuvalu, known as a small, remote coral atoll with a tiny population and traditional significance for Tuvaluan people.
- 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: Silver Nandi Triple: [Nandi Awards, hasAward, Silver Nandi]
Generated description
Silver Nandi is a prestigious category of the Nandi Awards presented by the Andhra Pradesh government to honor excellence in Telugu cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silver Nandi Target entity description: Silver Nandi is a prestigious category of the Nandi Awards presented by the Andhra Pradesh government to honor excellence in Telugu cinema.
-
A.
Silverbar
Silverbar is a central fish character in Rachel Carson’s nature book "Under the Sea-Wind," used to vividly portray marine life and ocean ecology.
-
B.
Nandi
Nandi is the sacred bull and devoted gatekeeper of the Hindu god Shiva, revered as a symbol of strength, righteousness, and dharma.
-
C.
Nandi
Nandi is a Southern Nilotic language spoken primarily by the Nandi people of western Kenya.
-
D.
Mizani
Mizani is a professional haircare brand known for its salon-quality products formulated specifically for textured, curly, and coily hair.
-
E.
Niulakita
Niulakita is the southernmost island of Tuvalu, known as a small, remote coral atoll with a tiny population and traditional significance for Tuvaluan people.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db1649288190a52c7dab57b3c7dc |
completed | March 27, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7619ebab88190916e3d68068ed71d |
completed | March 28, 2026, 5:05 a.m. |
| NEDg | Description generation | batch_69c7630440508190a66f218fd912d732 |
completed | March 28, 2026, 5:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7639747b88190b3429817d53c5703 |
completed | March 28, 2026, 5:13 a.m. |
Created at: March 27, 2026, 2:30 p.m.