Triple
T23251457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberto Marinho |
E581740
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Marinho |
E1005036
|
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: Marinho | Statement: [Roberto Marinho, familyName, Marinho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marinho Context triple: [Roberto Marinho, familyName, Marinho]
-
A.
Marineo
Marineo is a small historic town in Sicily, Italy, known for its traditional architecture and scenic location near the Eleuterio River and the Ficuzza wood.
-
B.
Vieira
Vieira is a French former professional footballer and World Cup winner who became a prominent defensive midfielder and later a football manager.
-
C.
Vieira
chosen
Vieira is a Portuguese surname commonly associated with people of Lusophone heritage, including notable figures in politics, sports, and the arts.
-
D.
Marín
Marín is a coastal town in the province of Pontevedra, Galicia, Spain, known for its naval traditions and as a base of the Spanish Navy.
-
E.
Nauta
Nauta is a small river port town in Peru’s Loreto region, serving as a key gateway for tourism and access to the Pacaya-Samiria National Reserve in the Amazon rainforest.
- 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_69e24606b17c81908aba1a4911c8a8ba |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f193f7249481909424867e9542d35e |
completed | April 29, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f67bf0c8190983d11c9866b6d53 |
completed | May 19, 2026, 10:45 a.m. |
Created at: April 17, 2026, 4:11 p.m.