Triple
T20221505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie Rossi |
E495264
|
entity |
| Predicate | familyLanguageContext |
P8532
|
FINISHED |
| Object | predominantly deaf family |
—
|
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: predominantly deaf family | Statement: [Jackie Rossi, familyLanguageContext, predominantly deaf family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyLanguageContext Context triple: [Jackie Rossi, familyLanguageContext, predominantly deaf family]
-
A.
languageFamilyContext
Indicates the broader linguistic family or grouping within which a particular language or linguistic element is situated.
-
B.
languageOfFamily
chosen
Indicates the language or languages commonly used or associated with a particular family.
-
C.
familyContext
Indicates that the entities are related or associated within a family or household context, such as kinship, caregiving, or shared domestic life.
-
D.
shareLanguageFamilyContext
Indicates that two entities are associated with languages that belong to the same language family or broader linguistic grouping within a given context.
-
E.
parentLanguage
Indicates that one language is the ancestral or source language from which another language is derived or historically developed.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd610f881908fdd22b1f8bd2efc |
completed | April 20, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:39 p.m.