Triple
T2797896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claudio Treves |
E53082
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Treves |
E279738
|
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: Treves | Statement: [Claudio Treves, familyName, Treves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Treves Context triple: [Claudio Treves, familyName, Treves]
-
A.
Treves
chosen
Treves was a prominent Italian publishing house known for issuing major literary works in the late 19th and early 20th centuries.
-
B.
Montardo
Montardo is a prominent mountain peak in the central Pyrenees, known for its panoramic views over the Val d’Aran in Catalonia, Spain.
-
C.
Felicio
Felicio is a given name that functions as a variant form of the name Felix, sharing its Latin roots and connotations of happiness or good fortune.
-
D.
Henry Haller
Henry Haller was a Swiss-born American chef best known for serving as White House Executive Chef for multiple U.S. presidents from the Johnson through the Reagan administrations.
-
E.
Jules Gilliéron
Jules Gilliéron was a pioneering Swiss-French linguist and dialectologist best known for his foundational work in Romance linguistics and the creation of the Atlas linguistique de la France.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf204148190a53f3f30d645d94c |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc66798148190bd7b163043167409 |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:58 p.m.