Triple
T6860801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukrainian Orthodox Church |
E158269
|
entity |
| Predicate | hasFeast |
P9516
|
FINISHED |
| Object | Theophany |
E4342
|
NE 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: Theophany | Statement: [Ukrainian Orthodox Church, hasFeast, Theophany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theophany Context triple: [Ukrainian Orthodox Church, hasFeast, Theophany]
-
A.
Theophania
Theophania is a Greek female given name meaning “manifestation of God,” from which the name Tiffany is derived.
-
B.
Epiphania
Epiphania was the ancient Greco-Roman name of the Syrian city now known as Hama.
-
C.
Epiphany
"Epiphany" is a pivotal, emotionally explosive solo from the musical *Sweeney Todd* in which the title character fully embraces his vengeful madness.
-
D.
Epiphany
chosen
Epiphany is a major Christian feast day commemorating the revelation of Jesus Christ to the world, particularly through the visit of the Magi.
-
E.
Epiphany
Epiphany is the second studio album by American singer and rapper T-Pain, known for its heavy use of Auto-Tune and hit singles that helped solidify his mainstream success.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d88659c8819084916663219a8198 |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fed3e788190b2b68fc93173f73e |
completed | March 28, 2026, 1:33 a.m. |
Created at: March 27, 2026, 2:21 p.m.