Triple
T32742533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die zwei blauen Augen von meinem Schatz |
E837253
|
entity |
| Predicate | titleEnglish |
P6688
|
FINISHED |
| Object | The Two Blue Eyes of my Beloved |
—
|
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: The Two Blue Eyes of my Beloved | Statement: [Die zwei blauen Augen von meinem Schatz, titleEnglish, The Two Blue Eyes of my Beloved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleEnglish Context triple: [Die zwei blauen Augen von meinem Schatz, titleEnglish, The Two Blue Eyes of my Beloved]
-
A.
titleInEnglish
chosen
Indicates that an entity’s title or name is given in the English language.
-
B.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
-
C.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
D.
titleInLocalLanguage
Indicates that an entity’s title is expressed in the primary or native language of a specified place or community.
-
E.
hasTitleInEnglishOrthography
Indicates that an entity has a specific title expressed using English spelling and writing conventions.
- 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_69f34936e1748190b797e406e4e9293a |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:12 a.m.