Triple
T8997003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nostradamus |
E214941
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Nostredame |
E214941
|
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: Nostredame | Statement: [Nostradamus, alsoKnownAs, Nostredame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nostredame Context triple: [Nostradamus, alsoKnownAs, Nostredame]
-
A.
Nostradamus
chosen
Nostradamus was a 16th-century French astrologer and physician best known for his cryptic prophetic verses, which many believe predicted major historical events.
-
B.
Eyquem
Eyquem is the French noble family name of Renaissance philosopher and essayist Michel de Montaigne.
-
C.
Salomon de Brosse
Salomon de Brosse was a prominent early 17th-century French architect known for helping shape the transition from French Renaissance to classical Baroque architecture.
-
D.
De La Motte
De La Motte is a French-origin surname historically associated with various notable figures, including early 20th-century American silent film actress Marguerite De La Motte.
-
E.
Paulin Talabot
Paulin Talabot was a 19th-century French engineer, entrepreneur, and banker who played a key role in developing France’s railway network and later helped establish major financial institutions.
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68e0d3588190bdab0e2b86b09228 |
completed | April 1, 2026, 12:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffd9bd544819083adf00db6a4a473 |
completed | April 3, 2026, 5:49 p.m. |
Created at: March 30, 2026, 7:05 p.m.