Triple
T30211833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giovanni Czermanik |
E768087
|
entity |
| Predicate | earlyLifeRecordsUseName |
P169718
|
FINISHED |
| Object | Giovanni Czermanik |
—
|
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: Giovanni Czermanik | Statement: [Giovanni Czermanik, earlyLifeRecordsUseName, Giovanni Czermanik]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyLifeRecordsUseName Context triple: [Giovanni Czermanik, earlyLifeRecordsUseName, Giovanni Czermanik]
-
A.
earlyLife
Indicates the period, events, or circumstances of an entity’s formative or initial stage of life.
-
B.
usedAsFirstNameOf
Indicates that one entity functions as the given or first name of another entity.
-
C.
usedAsBirthSurnameOf
Indicates that a particular surname served as the family name an individual was born with.
-
D.
childName
Indicates that one entity is the name (or given name) of a child associated with another entity.
-
E.
namedAfterDateOfBirth
Indicates that something (such as a person, event, or entity) is named after a specific date corresponding to a birth.
- F. None of above. chosen
Provenance (4 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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68048391c8190abe6580678f8a9ef |
completed | May 2, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 29, 2026, 7:32 p.m.