Triple
T34799284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schoenberg family |
E1003173
|
entity |
| Predicate | laterLanguageOfFamily |
P202012
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Schoenberg family, laterLanguageOfFamily, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterLanguageOfFamily Context triple: [Schoenberg family, laterLanguageOfFamily, English]
-
A.
languageOfFamily
Indicates the language or languages commonly used or associated with a particular family.
-
B.
languageFamilyOf
Indicates that one entity is the language family to which the other entity (a specific language) belongs.
-
C.
languageFamilyBranchOf
Indicates that one language family branch is a sub-group or subdivision within a larger language family.
-
D.
hasLanguageFamilyHigher
Indicates that one language family is hierarchically higher or more encompassing than another language family in a classification structure.
-
E.
inLanguageFamily
Indicates that two languages belong to the same linguistic family or classification.
- 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_69f76db543808190b188c6c86a91491b |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a0045a7b4c081908e4dedabda7cf790 |
completed | May 10, 2026, 8:45 a.m. |
| PD | Predicate disambiguation | batch_6a0042b148a48190974b173f352e4b7f |
completed | May 10, 2026, 8:32 a.m. |
| PDg | Predicate description generation | batch_6a0045a6ce788190913fa017097a15b8 |
completed | May 10, 2026, 8:45 a.m. |
Created at: May 3, 2026, 3:59 p.m.