Triple
T3372608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew |
E70988
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Mateus |
E110964
|
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: Mateus | Statement: [Matthew, hasCognate, Mateus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mateus Context triple: [Matthew, hasCognate, Mateus]
-
A.
Mateus
chosen
Mateus is a Portuguese surname commonly borne by individuals such as Rui Mateus.
-
B.
Mateo
Mateo is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries and derived from the Hebrew name Matthew, meaning "gift of God."
-
C.
Paulo
Paulo is the central character in Paulo Coelho’s novel "The Valkyries," whose spiritual journey through the Mojave Desert explores themes of faith, love, and self-discovery.
-
D.
Matthias
Matthias is the disciple chosen to join the Twelve Apostles after the betrayal and death of Judas Iscariot.
-
E.
Tiago
Tiago is a masculine given name commonly used in Portuguese-speaking countries, often considered a variant of the name James.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2bdcf70819087fc7e00fbd61e0d |
completed | March 8, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35460b4a081908f05bf786cc9bcd3 |
completed | March 13, 2026, 12:03 a.m. |
Created at: March 8, 2026, 3:13 p.m.