Triple
T6366984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilbert Burns |
E143251
|
entity |
| Predicate | notableOpponent |
P893
|
FINISHED |
| Object | Demian Maia |
E571105
|
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: Demian Maia | Statement: [Gilbert Burns, notableOpponent, Demian Maia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demian Maia Context triple: [Gilbert Burns, notableOpponent, Demian Maia]
-
A.
Demian Maia
chosen
Demian Maia is a Brazilian mixed martial artist and elite Brazilian jiu-jitsu specialist known as one of the greatest grapplers in UFC history.
-
B.
Carlos Oliveira
Carlos Oliveira is a former Umbrella Corporation soldier who becomes a key ally to Jill Valentine in the Resident Evil series, notably helping survivors escape during the Raccoon City outbreak.
-
C.
Thiago Soares
Thiago Soares is a renowned Brazilian ballet dancer best known as a former principal dancer of The Royal Ballet in London.
-
D.
Thiago Teixeira
Thiago Teixeira is a technology entrepreneur best known as a co-founder of the data app development platform Streamlit.
-
E.
Thiago
Thiago is a masculine given name of Portuguese origin, commonly used in Brazil and other Portuguese-speaking countries.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06811de2881909ead116117956981 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d8059588190a7d052889b25a8b6 |
completed | March 27, 2026, 7:10 a.m. |
Created at: March 22, 2026, 4:32 p.m.