Triple
T34396544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyrie |
E882845
|
entity |
| Predicate | titleComesFromPhrase |
P12689
|
FINISHED |
| Object | Kyrie eleison |
—
|
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: Kyrie eleison | Statement: [Kyrie, titleComesFromPhrase, Kyrie eleison]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleComesFromPhrase Context triple: [Kyrie, titleComesFromPhrase, Kyrie eleison]
-
A.
titlePhrase
Indicates that one entity is a phrase functioning as the title or name of another entity.
-
B.
titleOfTitle
Indicates that one title is the title of another title (e.g., a sub-title or alternate title associated with a primary title).
-
C.
titleDerivedFrom
chosen
Indicates that the title of one entity is obtained or adapted from another entity.
-
D.
titleThrough
Indicates a relationship where one entity holds or is identified by a specific title by means of, or via the mediation of, another entity or context.
-
E.
titlePattern
Indicates that there is a specific structural or textual pattern that the title of an entity is expected to follow.
- 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_69f349c1304081909331872829e38106 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff3b32ee148190a3ba3b7600943fef |
completed | May 9, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69ff3a238af88190a2c2245e30299e48 |
completed | May 9, 2026, 1:44 p.m. |
Created at: May 1, 2026, 1:59 a.m.