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.