Triple
T16650019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Monadologie |
E404579
|
entity |
| Predicate | mainSubject |
P3
|
FINISHED |
| Object | God |
E6636
|
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: God | Statement: [La Monadologie, mainSubject, God]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: God Context triple: [La Monadologie, mainSubject, God]
-
A.
God
chosen
God is the supreme, all-powerful and all-knowing divine being who creates, sustains, and governs the universe in the biblical tradition.
-
B.
Gott
Gott is a surname of German origin borne by various individuals, including the British Army officer William Gott.
-
C.
the Lord
The Lord is a powerful and tyrannical feudal noble whose cruel authority drives the tragic events in Ryūnosuke Akutagawa’s short story "Hell Screen."
-
D.
DIOS
DIOS is a Swedish company, often stylized as Diös, that focuses on owning and managing commercial and residential properties, primarily in northern Sweden.
-
E.
The Divine One
The Divine One is the celebrated nickname of American jazz singer Sarah Vaughan, renowned for her rich, expressive voice and virtuosic vocal technique.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad85ec881909dc6a434a363dab1 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084c2a8448190a9f05bc7e1ce7a05 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.