Triple
T8173383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiago Messi |
E190879
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Thiago |
E320522
|
NE FINISHED |
How this triple was built (2 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: Thiago | Statement: [Thiago Messi, givenName, Thiago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thiago Context triple: [Thiago Messi, givenName, Thiago]
-
A.
Thiago
chosen
Thiago is a masculine given name of Portuguese origin, commonly used in Brazil and other Portuguese-speaking countries.
-
B.
Thiago Soares
Thiago Soares is a renowned Brazilian ballet dancer best known as a former principal dancer of The Royal Ballet in London.
-
C.
Thiago Teixeira
Thiago Teixeira is a technology entrepreneur best known as a co-founder of the data app development platform Streamlit.
-
D.
Demian Maia
Demian Maia is a Brazilian mixed martial artist and elite Brazilian jiu-jitsu specialist known as one of the greatest grapplers in UFC history.
-
E.
Ricardo Izecson dos Santos Leite
Ricardo Izecson dos Santos Leite, better known as Kaká, is a retired Brazilian attacking midfielder who starred for clubs like AC Milan and Real Madrid and won the 2007 Ballon d'Or.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb48092b348190a37cb3746a434094 |
completed | March 31, 2026, 4:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf65ed508190abb60f9189f43e5c |
completed | April 1, 2026, 6:47 a.m. |
Created at: March 30, 2026, 5:39 p.m.