Triple

T20765226
Position Surface form Disambiguated ID Type / Status
Subject Ometo E511077 entity
Predicate hasDialects P4251 FINISHED
Object Melo
Melo is a dialect of the Ometo language, an Omotic language spoken in southwestern Ethiopia.
E1449684 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: Melo | Statement: [Ometo, hasDialects, Melo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melo
Context triple: [Ometo, hasDialects, Melo]
  • A. Carmelo
    Carmelo is a masculine given name most prominently associated with former NBA star Carmelo Anthony.
  • B. Darius Rose
    Darius Rose is an actor best known for appearing in the comedy film "Nacho Libre."
  • C. Randle Mell
    Randle Mell is an American actor known for his work in film, television, and theater, and for his long-term marriage to actress Mary McDonnell.
  • D. Nick Marone
    Nick Marone is a fictional character from the soap opera "The Bold and the Beautiful," known for his complex romantic entanglements and family drama.
  • E. Randle
    Randle is a surname most prominently associated with American professional basketball player Julius Randle of the NBA.
  • 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: Melo
Triple: [Ometo, hasDialects, Melo]
Generated description
Melo is a dialect of the Ometo language, an Omotic language spoken in southwestern Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Melo
Target entity description: Melo is a dialect of the Ometo language, an Omotic language spoken in southwestern Ethiopia.
  • A. Carmelo
    Carmelo is a masculine given name most prominently associated with former NBA star Carmelo Anthony.
  • B. Darius Rose
    Darius Rose is an actor best known for appearing in the comedy film "Nacho Libre."
  • C. Randle Mell
    Randle Mell is an American actor known for his work in film, television, and theater, and for his long-term marriage to actress Mary McDonnell.
  • D. Nick Marone
    Nick Marone is a fictional character from the soap opera "The Bold and the Beautiful," known for his complex romantic entanglements and family drama.
  • E. Randle
    Randle is a surname most prominently associated with American professional basketball player Julius Randle of the NBA.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24bde0c8190b46986b89bf2e037 completed April 21, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08ef8b07648190bac0f417a4aa06bc completed May 16, 2026, 10:28 p.m.
NEDg Description generation batch_6a08f23554208190aa1dc7294ab62e6c completed May 16, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_6a08f2a50c1c8190b167334fce4121cc completed May 16, 2026, 10:41 p.m.
Created at: April 16, 2026, 12:36 p.m.