Triple
T22982588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Tedeschi |
E571510
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tedeschi |
—
|
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: Tedeschi | Statement: [Susan Tedeschi, familyName, Tedeschi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tedeschi Context triple: [Susan Tedeschi, familyName, Tedeschi]
-
A.
Tedeschi
chosen
Tedeschi is an Italian surname associated with various notable figures, including the singer-songwriter and former French First Lady Carla Bruni.
-
B.
Rusini
Rusini, known in English as the Rusyns, are an East Slavic ethnic group traditionally inhabiting the Carpathian Mountain region of Central and Eastern Europe.
-
C.
Lombardo
Lombardo is an Italian-origin surname borne by various notable individuals in fields such as politics, music, and organized crime.
-
D.
Tede
Tede is an archaeological site in Nigeria notable for yielding significant Ife bronze and terracotta sculptures associated with the ancient Yoruba civilization.
-
E.
Ascolani
Ascolani are the inhabitants or natives of Ascoli Piceno, a historic city in Italy’s Marche region.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829645f88190aea1b96ea595ff60 |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.