Triple
T11764784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enrichetta Angelica Marchetti |
E279753
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Marchetti |
E286029
|
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: Marchetti | Statement: [Enrichetta Angelica Marchetti, familyName, Marchetti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marchetti Context triple: [Enrichetta Angelica Marchetti, familyName, Marchetti]
-
A.
Marchetti
chosen
Marchetti is an Italian surname borne by various notable figures in sports, arts, and public life.
-
B.
Marcetelli
Marcetelli is a small Italian municipality in the Lazio region, known for its rural character and location within the mountainous area of central Italy.
-
C.
Marchiano
Marchiano is the married surname of Linda Lovelace, the famous American pornographic film actress known for her role in "Deep Throat."
-
D.
Barsotti
Barsotti is an Italian-origin surname borne by various notable individuals in fields such as art, mathematics, and sports.
-
E.
Montella
Montella is a town in southern Italy’s Campania region, known for its mountainous setting and chestnut production.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a525948081908af62cc5d4c7c482 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a570ca88190ba2f3791c0e0ba60 |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 8, 2026, 9:41 p.m.