Triple
T10240558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arturo |
E243576
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Arturo (Tagalog) |
E243576
|
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: Arturo (Tagalog) | Statement: [Arturo, hasCognate, Arturo (Tagalog)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arturo (Tagalog) Context triple: [Arturo, hasCognate, Arturo (Tagalog)]
-
A.
Pozuzo
Pozuzo is a remote Peruvian town in the Pasco Region known for its unique Austro-German colonial heritage and cultural traditions.
-
B.
Ramon
Ramon is the surname of Ilan Ramon, the first Israeli astronaut and a payload specialist on the Space Shuttle Columbia.
-
C.
Arturo
chosen
Arturo is a masculine given name of Spanish and Italian origin, equivalent to Arthur in English.
-
D.
Don Karlos
Don Karlos is a historical drama by Friedrich Schiller that explores political intrigue, personal freedom, and moral conflict in the court of 16th-century Spain.
-
E.
Elpidio
Elpidio is a masculine given name most notably borne by Elpidio Quirino, the sixth President of the Philippines.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d21e27f08190b956d351a75c7c52 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f780c7808190993e7c37cb4d18a3 |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:24 a.m.