Triple
T13133575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mário Centeno |
E312024
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Centeno
Centeno is a Portuguese surname most notably associated with Mário Centeno, an economist and former finance minister of Portugal.
|
E1022572
|
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: Centeno | Statement: [Mário Centeno, familyName, Centeno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centeno Context triple: [Mário Centeno, familyName, Centeno]
-
A.
Millet
Millet is a common French surname borne by several notable figures, including artists and sculptors.
-
B.
Harroz
Harroz is the surname of Joseph Harroz Jr., an American academic administrator and president of the University of Oklahoma.
-
C.
Farino
Farino is a small rural commune in the South Province of New Caledonia, known for its lush forests and eco-tourism activities.
-
D.
Amaranto
Amaranto is the traditional maroon-colored nickname associated with Italian football club Reggina 1914 and its supporters.
-
E.
Emmer
Emmer is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia before joining the Weser.
- 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: Centeno Triple: [Mário Centeno, familyName, Centeno]
Generated description
Centeno is a Portuguese surname most notably associated with Mário Centeno, an economist and former finance minister of Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Centeno Target entity description: Centeno is a Portuguese surname most notably associated with Mário Centeno, an economist and former finance minister of Portugal.
-
A.
Millet
Millet is a common French surname borne by several notable figures, including artists and sculptors.
-
B.
Harroz
Harroz is the surname of Joseph Harroz Jr., an American academic administrator and president of the University of Oklahoma.
-
C.
Farino
Farino is a small rural commune in the South Province of New Caledonia, known for its lush forests and eco-tourism activities.
-
D.
Amaranto
Amaranto is the traditional maroon-colored nickname associated with Italian football club Reggina 1914 and its supporters.
-
E.
Emmer
Emmer is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia before joining the Weser.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981b3d72c8190b69ae56435a954fa |
completed | April 10, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e2930c6c8190adf17103a6cb71b9 |
completed | May 3, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f6e44fa8c88190a8f7bd715f34ec0b |
completed | May 3, 2026, 5:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e4c96b8c8190bb2f2988a5f8a14b |
completed | May 3, 2026, 6:01 a.m. |
Created at: April 9, 2026, 9:08 p.m.