Triple
T14535300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaron Russo |
E341027
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Russo |
E604990
|
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: Russo | Statement: [Aaron Russo, familyName, Russo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Russo Context triple: [Aaron Russo, familyName, Russo]
-
A.
Russo
chosen
Russo is an Italian surname commonly used as a variant of Rossi, often associated with people of Italian heritage.
-
B.
Russan
Russan is a commune in southern France situated along the Gardon River.
-
C.
Russin
Russin is a small wine-producing municipality and village located in the canton of Geneva in southwestern Switzerland.
-
D.
Rus
Rus was a medieval East Slavic cultural and political realm that laid the foundations for the modern nations of Russia, Ukraine, and Belarus.
-
E.
Russi
Russi is a small historic town and municipality in the Emilia-Romagna region of northern Italy, known for its Roman archaeological remains and agricultural surroundings.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1b9d39881908c7a3a5b17d432af |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a589d488190b4a192f33d11092d |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.