Triple
T19817528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achille Paganini |
E476097
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Achille |
—
|
NE NERFINISHED |
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: Achille | Statement: [Achille Paganini, givenName, Achille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Achille Context triple: [Achille Paganini, givenName, Achille]
-
A.
Achille
chosen
Achille is the given name of Achille Ratti, who became Pope Pius XI, head of the Catholic Church from 1922 to 1939.
-
B.
Achilles
Achilles is a legendary Greek hero of the Trojan War, famed for his near invincibility, martial prowess, and central role in Homer's Iliad.
-
C.
Hector
Hector was a British Royal Navy ship of the line that fought in the 1782 Battle of the Saintes during the American Revolutionary War.
-
D.
Hector
Hector is a family name most notably borne by German entrepreneur and SAP co-founder Hans-Werner Hector.
-
E.
Hector
Hector is a central character in Alan Bennett’s play and film "The History Boys," portrayed as an eccentric, inspiring, and morally complex English teacher.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654fac7b481909a19ae0d608e01d9 |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.