Triple
T1070595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Costello |
E23317
|
entity |
| Predicate | dateOfImmigration |
P498
|
FINISHED |
| Object | 1895 |
—
|
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: 1895 | Statement: [Frank Costello, dateOfImmigration, 1895]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfImmigration Context triple: [Frank Costello, dateOfImmigration, 1895]
-
A.
yearOfImmigration
chosen
Indicates the specific year in which an entity immigrated to a new country or region.
-
B.
dateOfCitizenshipChange
Indicates the date on which an entity’s citizenship status was changed from one nationality to another.
-
C.
citizenshipGrantedYear
Indicates the specific year in which an entity was officially granted citizenship.
-
D.
yearOfEmigration
Indicates the specific year in which an entity permanently left its country or place of origin to settle elsewhere.
-
E.
numberOfImmigrantsProcessed
Indicates the total count of immigrants that have been processed in a given context or system.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b92848148190ba8795cb8d0a1d0a |
completed | March 1, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69a4b73844708190a16c9e9824ca2fb6 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.