Triple
T11942171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunes |
E284202
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Tiago Nunes
Tiago Nunes is a Brazilian football manager known for coaching clubs such as Athletico Paranaense and Corinthians.
|
E957729
|
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: Tiago Nunes | Statement: [Nunes, hasNotableBearer, Tiago Nunes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiago Nunes Context triple: [Nunes, hasNotableBearer, Tiago Nunes]
-
A.
Tiago Monteiro
Tiago Monteiro is a Portuguese racing driver best known for his Formula One career in the mid-2000s and later success in touring car championships.
-
B.
Tiago Chaves
Tiago Chaves is an individual notable enough to be recognized as a prominent bearer of the surname Chaves.
-
C.
Tiago Tavares
Tiago Tavares is a Brazilian mixed martial artist known for competing in the lightweight division of major promotions such as the UFC.
-
D.
Diogo Tavares
Diogo Tavares is a Portuguese professional footballer known for playing as a forward for various clubs in Portugal and abroad.
-
E.
Tiago Cardoso
Tiago Cardoso is a Portuguese professional footballer known for playing as a goalkeeper.
- 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: Tiago Nunes Triple: [Nunes, hasNotableBearer, Tiago Nunes]
Generated description
Tiago Nunes is a Brazilian football manager known for coaching clubs such as Athletico Paranaense and Corinthians.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiago Nunes Target entity description: Tiago Nunes is a Brazilian football manager known for coaching clubs such as Athletico Paranaense and Corinthians.
-
A.
Tiago Monteiro
Tiago Monteiro is a Portuguese racing driver best known for his Formula One career in the mid-2000s and later success in touring car championships.
-
B.
Tiago Chaves
Tiago Chaves is an individual notable enough to be recognized as a prominent bearer of the surname Chaves.
-
C.
Tiago Tavares
Tiago Tavares is a Brazilian mixed martial artist known for competing in the lightweight division of major promotions such as the UFC.
-
D.
Diogo Tavares
Diogo Tavares is a Portuguese professional footballer known for playing as a forward for various clubs in Portugal and abroad.
-
E.
Tiago Cardoso
Tiago Cardoso is a Portuguese professional footballer known for playing as a goalkeeper.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90342bb908190a019ac91a2b82f3d |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471ba7fd88190909596e6e01e8714 |
completed | May 1, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_69f47b755f808190acb2fb31473d2405 |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47d8bbae8819088d48b300291ef74 |
completed | May 1, 2026, 10:16 a.m. |
Created at: April 8, 2026, 9:45 p.m.