Triple
T2665845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernhard Caesar Einstein |
E55632
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Swiss Army |
E40711
|
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: Swiss Army | Statement: [Bernhard Caesar Einstein, employer, Swiss Army]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swiss Army Context triple: [Bernhard Caesar Einstein, employer, Swiss Army]
-
A.
Swiss Army
chosen
The Swiss Army is Switzerland’s national military force, responsible for the country’s defense and organized primarily as a militia with a small professional core.
-
B.
Speer
Speer is a German surname most famously associated with Albert Speer, the Nazi architect and Minister of Armaments and War Production during World War II.
-
C.
Walther
Walther is a given name and surname of Germanic origin, commonly used in German-speaking countries and occasionally in other parts of Europe.
-
D.
Mopin
Mopin is a major agrarian festival of the Galo (Adi) people in Arunachal Pradesh, celebrated with traditional dances, rituals, and feasting to invoke prosperity and ward off evil.
-
E.
Fussilat
Fussilat is the 41st chapter of the Qur’an, known for its detailed exposition of divine revelation, signs in creation, and the consequences of accepting or rejecting the message.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd96ed2748190a4feae98199b459d |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa058fdd08190a355fc8131cd6695 |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:54 p.m.