Triple

T1028621
Position Surface form Disambiguated ID Type / Status
Subject Guido E22196 entity
Predicate hasVariant P455 FINISHED
Object Wido
Wido is a given name that functions as a variant form of the name Guido, used in various European languages.
E146517 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: Wido | Statement: [Guido, hasVariant, Wido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wido
Context triple: [Guido, hasVariant, Wido]
  • A. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • B. Otto
    Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
  • C. Otto
    Otto is the central German soldier protagonist in the 1993 war film "Stalingrad," whose experiences depict the brutality and futility of the Eastern Front in World War II.
  • D. Otto
    Otto is a given name of Germanic origin commonly used across various European countries.
  • E. Konrad
    Konrad is a masculine given name of German origin, historically borne by several notable figures including statesmen, nobles, and religious leaders.
  • 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: Wido
Triple: [Guido, hasVariant, Wido]
Generated description
Wido is a given name that functions as a variant form of the name Guido, used in various European languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wido
Target entity description: Wido is a given name that functions as a variant form of the name Guido, used in various European languages.
  • A. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • B. Otto
    Otto is the central German soldier protagonist in the 1993 war film "Stalingrad," whose experiences depict the brutality and futility of the Eastern Front in World War II.
  • C. Otto
    Otto is the title of one of the early nominative reports that were later incorporated into the official United States Reports, documenting decisions of the U.S. Supreme Court.
  • D. Otto
    Otto is a given name of Germanic origin commonly used across various European countries.
  • E. Konrad
    Konrad is a masculine given name of German origin, historically borne by several notable figures including statesmen, nobles, and religious leaders.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7f84c888190b5b9e44c7edb508f completed March 1, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2d9c98481909141f7f8ad9b8c1d completed March 7, 2026, 10:12 p.m.
NEDg Description generation batch_69aca391037c8190b6f256fcd1ac882e completed March 7, 2026, 10:15 p.m.
NED2 Entity disambiguation (via description) batch_69aca42e7c74819089666f4940ea6d4d completed March 7, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:41 p.m.