Triple
T11424631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irving Noel Thornley Stoker |
E270714
|
entity |
| Predicate | languageOfFamilyBackground |
P8532
|
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: [Irving Noel Thornley Stoker, languageOfFamilyBackground, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfFamilyBackground Context triple: [Irving Noel Thornley Stoker, languageOfFamilyBackground, English]
-
A.
languageOfFamily
chosen
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.
parentLanguage
Indicates that one language is the ancestral or source language from which another language is derived or historically developed.
-
D.
languageFamily
Indicates that two or more languages belong to the same genealogical language family or linguistic lineage.
-
E.
usesLanguageFamily
Indicates that an entity communicates or operates using a language that belongs to a specified language family.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806be9c2c819084da13101cbb6c81 |
completed | April 9, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:35 p.m.