Triple
T12685201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geoffrey Arend |
E303048
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Arend |
E472321
|
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: Arend | Statement: [Geoffrey Arend, familyName, Arend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arend Context triple: [Geoffrey Arend, familyName, Arend]
-
A.
Arend
Arend was one of the ships in the early 18th-century Dutch expedition led by explorer Jacob Roggeveen, known for his discovery of Easter Island.
-
B.
Arend
chosen
Arend is a character in Joost van den Vondel’s historical play "Gijsbrecht van Aemstel," set in medieval Amsterdam.
-
C.
Aehrenthal
Aehrenthal was an Austro-Hungarian foreign minister best known for orchestrating the 1908 annexation of Bosnia and Herzegovina, a move that triggered the Bosnian Crisis and heightened tensions in pre–World War I Europe.
-
D.
Nesslau
Nesslau is a municipality in the Toggenburg region of the canton of St. Gallen in northeastern Switzerland, known for its alpine landscape and outdoor recreation.
-
E.
Naimark
Naimark is a surname most notably associated with mathematician Mark Naimark, known for his contributions to functional analysis and operator theory.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d7cd4c81909521839ef5859799 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a8f068819086e2191439607f76 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:21 p.m.