Triple
T18658997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucia Migliaccio |
E456140
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lucia Migliaccio |
—
|
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: Lucia Migliaccio | Statement: [Lucia Migliaccio, name, Lucia Migliaccio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucia Migliaccio Context triple: [Lucia Migliaccio, name, Lucia Migliaccio]
-
A.
Lucia Migliaccio
chosen
Lucia Migliaccio was an Italian noblewoman and duchess best known as the morganatic second wife of King Ferdinand I of the Two Sicilies.
-
B.
Claudia Squitieri
Claudia Squitieri is the daughter of renowned Italian actress Claudia Cardinale and Italian film director Pasquale Squitieri.
-
C.
Lisa Loiacono
Lisa Loiacono is a real estate agent best known as the wife of actor Christopher Lloyd.
-
D.
Alexandra D'Amato
Alexandra D'Amato is known as the daughter of former U.S. Senator Alfonse D'Amato.
-
E.
Maria Colacurcio
Maria Colacurcio is an American technology executive and entrepreneur best known as a co-founder of Smartsheet and for her leadership roles in data-driven workplace equity and HR tech companies.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55087ae8081909cb4c0ce6c809d55 |
completed | April 19, 2026, 10 p.m. |
Created at: April 10, 2026, 11:48 a.m.