Triple
T9371308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tadeusz |
E225535
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Tadeu
Tadeu is a given name, primarily used in Portuguese-speaking countries, that is a variant of the name Tadeusz.
|
E796423
|
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: Tadeu | Statement: [Tadeusz, hasVariant, Tadeu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tadeu Context triple: [Tadeusz, hasVariant, Tadeu]
-
A.
Heitor
Heitor is the given name of the renowned Brazilian composer Heitor Villa-Lobos, a key figure in 20th-century classical music.
-
B.
Andrade
Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
-
C.
Guilherme
Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
-
D.
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.
-
E.
Tadeu Marroco
Tadeu Marroco is a Brazilian-born business executive who serves as the chief executive officer of British American Tobacco.
- 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: Tadeu Triple: [Tadeusz, hasVariant, Tadeu]
Generated description
Tadeu is a given name, primarily used in Portuguese-speaking countries, that is a variant of the name Tadeusz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tadeu Target entity description: Tadeu is a given name, primarily used in Portuguese-speaking countries, that is a variant of the name Tadeusz.
-
A.
Heitor
Heitor is the given name of the renowned Brazilian composer Heitor Villa-Lobos, a key figure in 20th-century classical music.
-
B.
Andrade
Andrade is a common Portuguese and Spanish surname borne by numerous notable figures across fields such as sports, politics, and the arts.
-
C.
Guilherme
Guilherme is the Portuguese form of the given name William, commonly used in Portuguese-speaking countries.
-
D.
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.
-
E.
Tadeu Marroco
Tadeu Marroco is a Brazilian-born business executive who serves as the chief executive officer of British American Tobacco.
- 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_69d100d68d28819082f366f3b5493cfb |
completed | April 4, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_69d1032be3f0819083e0c49963e72056 |
completed | April 4, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1037738ec81909bc9518b898f8141 |
completed | April 4, 2026, 12:26 p.m. |
Created at: March 30, 2026, 7:43 p.m.