Triple
T12604780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Sunday of Easter |
E300949
|
entity |
| Predicate | hasIntroitName |
P97549
|
FINISHED |
| Object | Quasi modo geniti infantes |
—
|
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: Quasi modo geniti infantes | Statement: [Second Sunday of Easter, hasIntroitName, Quasi modo geniti infantes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIntroitName Context triple: [Second Sunday of Easter, hasIntroitName, Quasi modo geniti infantes]
-
A.
introit
Indicates the introductory section or opening part of a liturgical service, musical work, or formal ceremony.
-
B.
hasPianoIntroBy
Indicates that something (typically a musical work) features an introductory section played on piano that is performed or created by a specified agent.
-
C.
introitTranslation
Indicates that one entity is a translation of an introit (a liturgical entrance chant) into the language or form represented by the other entity.
-
D.
hasBassIntroBy
Indicates a relationship where a musical piece features an introductory section performed or led by a bass instrument or bass player.
-
E.
introitOpeningWords
chosen
Indicates the relationship between a liturgical introit and the specific opening words with which it begins.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:10 p.m.