Triple
T2908210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germain |
E63616
|
entity |
| Predicate | sharesEtymologyWith |
P28322
|
FINISHED |
| Object | Saint Germain |
E242176
|
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: Saint Germain | Statement: [Germain, sharesEtymologyWith, Saint Germain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint Germain Context triple: [Germain, sharesEtymologyWith, Saint Germain]
-
A.
Odilon
Odilon is the nickname of Odilon Redon, a French Symbolist painter and printmaker known for his dreamlike, often fantastical imagery.
-
B.
Eyquem
Eyquem is the French noble family name of Renaissance philosopher and essayist Michel de Montaigne.
-
C.
Grégoire
Grégoire is the French form of the given name Gregory, commonly used in French-speaking countries.
-
D.
Priest Vallon
Priest Vallon is a fictional Irish-American gang leader and the father of protagonist Amsterdam Vallon in Martin Scorsese’s film "Gangs of New York."
-
E.
Germain of Paris
chosen
Germain of Paris was a 6th-century Bishop of Paris venerated as a saint for his piety, charity, and influence on the early Frankish church.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0d1dcf881909b3ae58d7cdfd9cd |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b056173a988190be02619d909cdb25 |
completed | March 10, 2026, 5:34 p.m. |
Created at: March 6, 2026, 10:11 p.m.