Triple
T10837322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reddy |
E255794
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Reddi
Reddi is a surname and community name commonly found in South India, particularly among Telugu-speaking populations.
|
E889295
|
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: Reddi | Statement: [Reddy, hasVariant, Reddi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reddi Context triple: [Reddy, hasVariant, Reddi]
-
A.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
-
B.
Toohey
Toohey is an Australian High Court justice best known for his role in landmark decisions such as Mabo v Queensland (No 2), which recognized native title rights.
-
C.
Dulcy
Dulcy is a 1921 Broadway stage comedy, co-written by Marc Connelly and George S. Kaufman, that helped establish their reputations as leading American playwrights.
-
D.
Sanka
Sanka is a well-known brand of decaffeinated coffee that became popular in the United States during the 20th century.
-
E.
Kream
"Kream" is a 2018 hip hop single by Australian rapper Iggy Azalea featuring Tyga, known for its bass-heavy production, club-oriented sound, and viral popularity.
- 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: Reddi Triple: [Reddy, hasVariant, Reddi]
Generated description
Reddi is a surname and community name commonly found in South India, particularly among Telugu-speaking populations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reddi Target entity description: Reddi is a surname and community name commonly found in South India, particularly among Telugu-speaking populations.
-
A.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
-
B.
Toohey
Toohey is an Australian High Court justice best known for his role in landmark decisions such as Mabo v Queensland (No 2), which recognized native title rights.
-
C.
Dulcy
Dulcy is a 1921 Broadway stage comedy, co-written by Marc Connelly and George S. Kaufman, that helped establish their reputations as leading American playwrights.
-
D.
Sanka
Sanka is a well-known brand of decaffeinated coffee that became popular in the United States during the 20th century.
-
E.
Kream
"Kream" is a 2018 hip hop single by Australian rapper Iggy Azalea featuring Tyga, known for its bass-heavy production, club-oriented sound, and viral popularity.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d746ff70148190b844ab92d796af6c |
completed | April 9, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb12aae648190aa7c93cee60ae3ea |
completed | April 14, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69dec2534728819095b3693120772da9 |
completed | April 14, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec79b1b548190a74312284f98551c |
completed | April 14, 2026, 11:02 p.m. |
Created at: April 8, 2026, 9:19 p.m.