Triple
T27779637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campagnone |
E699297
|
entity |
| Predicate | usedInPersonalNameOrder |
P179786
|
FINISHED |
| Object | last name |
—
|
LITERAL 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: last name | Statement: [Campagnone, usedInPersonalNameOrder, last name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInPersonalNameOrder Context triple: [Campagnone, usedInPersonalNameOrder, last name]
-
A.
usesPersonalNamesFrom
Indicates that one entity employs or adopts the system or set of personal names originating from another entity.
-
B.
usedInFullNameOrder
chosen
Indicates that a particular ordering of name components is employed when constructing or displaying a person's full name.
-
C.
usedWithSurname
Indicates that something (typically a given name or title) is used together with a particular surname in naming or reference.
-
D.
usedAsFirstNameOf
Indicates that one entity functions as the given or first name of another entity.
-
E.
usedAsSurname
Indicates that something functions as a family name borne by a person or group of people.
- F. None of above.
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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 27, 2026, 5:09 p.m.