Triple
T15003929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eirene |
E377659
|
entity |
| Predicate | isNameDayAssociatedWith |
P910
|
FINISHED |
| Object | feast days of Saint Irene (varies by tradition) |
—
|
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: feast days of Saint Irene (varies by tradition) | Statement: [Eirene, isNameDayAssociatedWith, feast days of Saint Irene (varies by tradition)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNameDayAssociatedWith Context triple: [Eirene, isNameDayAssociatedWith, feast days of Saint Irene (varies by tradition)]
-
A.
hasNameDayRelation
Indicates a relationship where a person’s name is associated with a specific name day or feast day in a calendar.
-
B.
hasNameDayOrReligiousUsage
Indicates that an entity has an associated name day celebration or is used in a religious or liturgical context.
-
C.
hasNameDay
chosen
Indicates that an entity is associated with a specific date on which its name is traditionally celebrated (a name day).
-
D.
hasNameDayBaseName
Indicates that an entity’s name day is based on or associated with a particular base name.
-
E.
namesDay
Indicates that one entity is the name assigned to a particular day (such as a weekday or holiday) associated with another entity.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7312ae48190bdaf91ecced6657e |
completed | April 15, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:54 a.m.