Triple

T10159145
Position Surface form Disambiguated ID Type / Status
Subject Guglielmo E233843 entity
Predicate hasNickname P39 FINISHED
Object Memo E806415 NE FINISHED

How this triple was built (2 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: [Guglielmo, hasNickname, Memo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Memo
Context triple: [Guglielmo, hasNickname, Memo]
  • A. Memo chosen
    Memo is a common diminutive or nickname for the Turkish male given name Mehmet.
  • B. Mem
    Mem is the thirteenth letter of the Hebrew alphabet, representing the "m" sound and having both standard and final written forms.
  • C. Mensagem
    Mensagem is a seminal poetry collection by Portuguese writer Fernando Pessoa that reflects on Portugal’s history, identity, and mythic destiny.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec56d944819081bc6ea36c905ba2 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300b7b3108190a8e7581193c322be completed April 6, 2026, 12:39 a.m.
Created at: March 30, 2026, 9:09 p.m.