Triple

T9556682
Position Surface form Disambiguated ID Type / Status
Subject Mehmet E230556 entity
Predicate hasDiminutive P456 FINISHED
Object Memo
Memo is a common diminutive or nickname for the Turkish male given name Mehmet.
E806415 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: Memo | Statement: [Mehmet, hasDiminutive, Memo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Memo
Context triple: [Mehmet, hasDiminutive, Memo]
  • A. Mem
    Mem is the thirteenth letter of the Hebrew alphabet, representing the "m" sound and having both standard and final written forms.
  • B. Mensagem
    Mensagem is a seminal poetry collection by Portuguese writer Fernando Pessoa that reflects on Portugal’s history, identity, and mythic destiny.
  • C. Memons
    Memons are a Muslim ethnic group originating from the Sindh region of South Asia, known for their mercantile traditions and distinct linguistic and cultural identity.
  • D. Briefe
    "Briefe" is a collection of letters by Austrian writer Hugo von Hofmannsthal that offers insight into his literary development, personal relationships, and intellectual milieu.
  • E. Postilla
    Postilla is a collection of Czech sermons by the reformer Jan Hus that played a key role in the early Bohemian Reformation.
  • 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: Memo
Triple: [Mehmet, hasDiminutive, Memo]
Generated description
Memo is a common diminutive or nickname for the Turkish male given name Mehmet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Memo
Target entity description: Memo is a common diminutive or nickname for the Turkish male given name Mehmet.
  • A. Mem
    Mem is the thirteenth letter of the Hebrew alphabet, representing the "m" sound and having both standard and final written forms.
  • B. Mensagem
    Mensagem is a seminal poetry collection by Portuguese writer Fernando Pessoa that reflects on Portugal’s history, identity, and mythic destiny.
  • C. Memons
    Memons are a Muslim ethnic group originating from the Sindh region of South Asia, known for their mercantile traditions and distinct linguistic and cultural identity.
  • D. Briefe
    "Briefe" is a collection of letters by Austrian writer Hugo von Hofmannsthal that offers insight into his literary development, personal relationships, and intellectual milieu.
  • E. Postilla
    Postilla is a collection of Czech sermons by the reformer Jan Hus that played a key role in the early Bohemian Reformation.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9946c7b8819082f3a4ec4fc979e6 completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d15296303c8190adda4b24036d9390 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d1539bad8481909f9bd060aa3b651c completed April 4, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69d154567f408190a848eea4ca905fb6 completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:03 p.m.