Triple
T11663252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anjinho da Guarda |
E277175
|
entity |
| Predicate | hasTitleTranslationInEnglish |
P74376
|
FINISHED |
| Object | Little Guardian Angel |
—
|
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: Little Guardian Angel | Statement: [Anjinho da Guarda, hasTitleTranslationInEnglish, Little Guardian Angel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleTranslationInEnglish Context triple: [Anjinho da Guarda, hasTitleTranslationInEnglish, Little Guardian Angel]
-
A.
hasTitleInLanguage
Indicates that an entity has a specific title expressed in a particular language.
-
B.
hasTitleInModernEnglish
chosen
Indicates that an entity is associated with a specific title expressed in modern English.
-
C.
hasTitleInTransliteration
Indicates that an entity has a specific title represented in a transliterated form from another writing system.
-
D.
hasTitleInGerman
Indicates that an entity has a specific title or name expressed in the German language.
-
E.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d3a64c819099f398ea22c8c180 |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d88a73f9ac819095662042804bf40a |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:39 p.m.