Triple

T9371306
Position Surface form Disambiguated ID Type / Status
Subject Tadeusz E225535 entity
Predicate hasVariant P455 FINISHED
Object Tadeo
Tadeo is a masculine given name, commonly used in Spanish-speaking contexts, that corresponds to the Polish name Tadeusz.
E794857 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: Tadeo | Statement: [Tadeusz, hasVariant, Tadeo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tadeo
Context triple: [Tadeusz, hasVariant, Tadeo]
  • A. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • B. Aroldo
    Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
  • C. Arturo
    Arturo is a masculine given name of Spanish and Italian origin, equivalent to Arthur in English.
  • D. Severino
    Severino is one of the many given names of Charles Edward Stuart, the 18th-century Jacobite claimant to the British throne known as "Bonnie Prince Charlie."
  • E. Indalecio
    Indalecio is a masculine given name of Spanish origin, notably borne by the Spanish socialist politician Indalecio Prieto.
  • 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: Tadeo
Triple: [Tadeusz, hasVariant, Tadeo]
Generated description
Tadeo is a masculine given name, commonly used in Spanish-speaking contexts, that corresponds to the Polish name Tadeusz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tadeo
Target entity description: Tadeo is a masculine given name, commonly used in Spanish-speaking contexts, that corresponds to the Polish name Tadeusz.
  • A. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • B. Aroldo
    Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
  • C. Arturo
    Arturo is a masculine given name of Spanish and Italian origin, equivalent to Arthur in English.
  • D. Severino
    Severino is one of the many given names of Charles Edward Stuart, the 18th-century Jacobite claimant to the British throne known as "Bonnie Prince Charlie."
  • E. Indalecio
    Indalecio is a masculine given name of Spanish origin, notably borne by the Spanish socialist politician Indalecio Prieto.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5083cbb8819088e8cef26be1b380 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f411bb2c819091b67c70956c546b completed April 4, 2026, 11:20 a.m.
NEDg Description generation batch_69d0f5e382d88190bfb61c8e3a6cd646 completed April 4, 2026, 11:28 a.m.
NED2 Entity disambiguation (via description) batch_69d0f6544b008190b220687c5e9abac3 completed April 4, 2026, 11:30 a.m.
Created at: March 30, 2026, 7:43 p.m.