Triple
T25760587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universal Prayer |
E648729
|
entity |
| Predicate | isAddressedThrough |
P60417
|
FINISHED |
| Object | Jesus Christ |
—
|
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: Jesus Christ | Statement: [Universal Prayer, isAddressedThrough, Jesus Christ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAddressedThrough Context triple: [Universal Prayer, isAddressedThrough, Jesus Christ]
-
A.
addressedThrough
chosen
Indicates that an issue, request, or communication is handled, resolved, or processed by means of a specified channel, method, or intermediary.
-
B.
isAddressedIn
Indicates that a particular topic, issue, or entity is discussed, handled, or dealt with within a specified document, communication, or context.
-
C.
isAddressedTo
Indicates that a message, communication, or item is specifically directed or intended for a particular recipient.
-
D.
addressedFor
Indicates that something is directed, designated, or intended for a particular recipient or target.
-
E.
hasAddress
Indicates that an entity is associated with a specific address or location.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fdeef1348190a32e4ae429680b7d |
completed | May 2, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 5:05 a.m.