Triple
T21570042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maia |
E532259
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Tiago Maia
Tiago Maia is a person notable enough to be recognized as a prominent bearer of the surname Maia.
|
E1492625
|
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 Maia | Statement: [Maia, hasNotableBearer, Tiago Maia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiago Maia Context triple: [Maia, hasNotableBearer, Tiago Maia]
-
A.
Tiago Chaves
Tiago Chaves is an individual notable enough to be recognized as a prominent bearer of the surname Chaves.
-
B.
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.
-
C.
Diogo Tavares
Diogo Tavares is a Portuguese professional footballer known for playing as a forward for various clubs in Portugal and abroad.
-
D.
Rodrigo Teixeira
Rodrigo Teixeira is a Brazilian film producer known for backing acclaimed independent and international films such as "Armageddon Time," "Call Me by Your Name," and "The Witch."
-
E.
Tiago Nunes
Tiago Nunes is a Brazilian football manager known for coaching clubs such as Athletico Paranaense and Corinthians.
- 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 Maia Triple: [Maia, hasNotableBearer, Tiago Maia]
Generated description
Tiago Maia is a person notable enough to be recognized as a prominent bearer of the surname Maia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiago Maia Target entity description: Tiago Maia is a person notable enough to be recognized as a prominent bearer of the surname Maia.
-
A.
Tiago Chaves
Tiago Chaves is an individual notable enough to be recognized as a prominent bearer of the surname Chaves.
-
B.
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.
-
C.
Diogo Tavares
Diogo Tavares is a Portuguese professional footballer known for playing as a forward for various clubs in Portugal and abroad.
-
D.
Rodrigo Teixeira
Rodrigo Teixeira is a Brazilian film producer known for backing acclaimed independent and international films such as "Armageddon Time," "Call Me by Your Name," and "The Witch."
-
E.
Tiago Nunes
Tiago Nunes is a Brazilian football manager known for coaching clubs such as Athletico Paranaense and Corinthians.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cb9718819094fc95b25df68bd1 |
completed | April 27, 2026, 4:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09fd2805508190af5e426389ec756b |
completed | May 17, 2026, 5:38 p.m. |
| NEDg | Description generation | batch_6a09fe2d2a688190ac396350643fcb72 |
completed | May 17, 2026, 5:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09fe8d67048190917d4c1d6e5b81f2 |
completed | May 17, 2026, 5:44 p.m. |
Created at: April 16, 2026, 6:30 p.m.