Triple
T8869505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel Artime |
E211113
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Artime |
E123534
|
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: Artime | Statement: [Manuel Artime, familyName, Artime]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artime Context triple: [Manuel Artime, familyName, Artime]
-
A.
Artime
chosen
Artime is a Spanish-language surname of likely Iberian origin borne by various individuals, including figures in Latin American history and culture.
-
B.
Artěl
Artěl was a Czech artists' and designers' cooperative active in the early 20th century that promoted modern applied arts and design.
-
C.
Afiartis
Afiartis is a coastal area on the Greek island of Karpathos known for its beaches and strong winds that make it popular for windsurfing and other water sports.
-
D.
Artà
Artà is a historic town and municipality on the Spanish island of Mallorca, known for its traditional architecture, hilltop sanctuary, and scenic surroundings.
-
E.
Artis
Artis is a masculine given name most notably borne by Hall of Fame basketball center Artis Gilmore.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61257a548190955ad71f4c8704d5 |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0e247c88190a97c00ce20f9c1c1 |
completed | April 3, 2026, 11:13 a.m. |
Created at: March 30, 2026, 6:51 p.m.