Triple

T5969205
Position Surface form Disambiguated ID Type / Status
Subject Emilio E132829 entity
Predicate hasDiminutive P456 FINISHED
Object Emi
Emi is a common diminutive or nickname for the given name Emilio.
 E558662 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: Emi | Statement: [Emilio, hasDiminutive, Emi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Emi
Context triple: [Emilio, hasDiminutive, Emi]
  • A. Eimi
    Eimi is an experimental, stream-of-consciousness travelogue by E. E. Cummings that chronicles his journey through Soviet Russia in 1931.
  • B. Nozomi
    Nozomi is the fastest and most premium Shinkansen (bullet train) service operating on Japan’s Tokaido and Sanyo lines, known for its high speed and frequent departures between major cities like Tokyo and Osaka.
  • C. Minori
    Minori is a small seaside town on Italy’s Amalfi Coast known for its historic lemon cultivation, Roman villa ruins, and relaxed, less touristy atmosphere.
  • D. Geisa
    Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
  • E. Teimei
    Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
  • 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: Emi
Triple: [Emilio, hasDiminutive, Emi]
Generated description
Emi is a common diminutive or nickname for the given name Emilio.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Emi
Target entity description: Emi is a common diminutive or nickname for the given name Emilio.
  • A. Eimi
    Eimi is an experimental, stream-of-consciousness travelogue by E. E. Cummings that chronicles his journey through Soviet Russia in 1931.
  • B. Nozomi
    Nozomi is the fastest and most premium Shinkansen (bullet train) service operating on Japan’s Tokaido and Sanyo lines, known for its high speed and frequent departures between major cities like Tokyo and Osaka.
  • C. Minori
    Minori is a small seaside town on Italy’s Amalfi Coast known for its historic lemon cultivation, Roman villa ruins, and relaxed, less touristy atmosphere.
  • D. Geisa
    Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
  • E. Teimei
    Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a40cfe08190a40de42831af7cf8 completed March 22, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e40506848190843971e772d56054 completed March 23, 2026, 6:56 a.m.
NEDg Description generation batch_69c0edb0a0808190b2b6f5fc0d7b7913 completed March 23, 2026, 7:37 a.m.
NED2 Entity disambiguation (via description) batch_69c0ee2ffbc88190a256b5cb8a98f382 completed March 23, 2026, 7:39 a.m.
Created at: March 22, 2026, 4:03 p.m.