Triple

T10200016
Position Surface form Disambiguated ID Type / Status
Subject Meles Zenawi E238857 entity
Predicate givenName P17 FINISHED
Object Meles
Meles is a given name most notably associated with Meles Zenawi, the longtime prime minister of Ethiopia.
 E847307 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: Meles | Statement: [Meles Zenawi, givenName, Meles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meles
Context triple: [Meles Zenawi, givenName, Meles]
  • A. Ersoy
    Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
  • B. Zübeyir
    Zübeyir is a Turkish masculine given name, notably borne by the archaeologist and ethnographer Hamit Zübeyir Koşay.
  • C. Gazi
    Gazi is an honorific title in Turkey, historically bestowed for distinguished military valor and sacrifice in war.
  • D. Gökalp
    Gökalp is a Turkish surname most prominently associated with Ziya Gökalp, an influential early 20th-century sociologist, writer, and ideologue of Turkish nationalism.
  • E. Ziya
    Ziya is a masculine given name of Turkish origin, historically associated with notable figures such as sociologist and nationalist thinker Ziya Gökalp.
  • 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: Meles
Triple: [Meles Zenawi, givenName, Meles]
Generated description
Meles is a given name most notably associated with Meles Zenawi, the longtime prime minister of Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meles
Target entity description: Meles is a given name most notably associated with Meles Zenawi, the longtime prime minister of Ethiopia.
  • A. Ersoy
    Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
  • B. Zübeyir
    Zübeyir is a Turkish masculine given name, notably borne by the archaeologist and ethnographer Hamit Zübeyir Koşay.
  • C. Gazi
    Gazi is an honorific title in Turkey, historically bestowed for distinguished military valor and sacrifice in war.
  • D. Gökalp
    Gökalp is a Turkish surname most prominently associated with Ziya Gökalp, an influential early 20th-century sociologist, writer, and ideologue of Turkish nationalism.
  • E. Ziya
    Ziya is a masculine given name of Turkish origin, historically associated with notable figures such as sociologist and nationalist thinker Ziya Gökalp.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee3f3bac8190a63a81edffe7cda7 completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317f40f0c8190a3d966c934cc20f7 completed April 6, 2026, 2:18 a.m.
NEDg Description generation batch_69d3188886908190ba0a5539ce942980 completed April 6, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69d31c4fb8288190bbc6b3d4a79dafb1 completed April 6, 2026, 2:37 a.m.
Created at: March 30, 2026, 9:14 p.m.