Triple
T13370559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Throne and Altar |
E319047
|
entity |
| Predicate | viewsMonarchAs |
P100588
|
FINISHED |
| Object | protector of the church |
—
|
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: protector of the church | Statement: [Throne and Altar, viewsMonarchAs, protector of the church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsMonarchAs Context triple: [Throne and Altar, viewsMonarchAs, protector of the church]
-
A.
viewedMonarchyAs
chosen
Indicates that one entity regarded or interpreted monarchy in a particular way or from a specific perspective.
-
B.
viewOnKing
Indicates that an entity holds a particular opinion, perspective, or stance regarding a king.
-
C.
monarchIn
Indicates that a person serves as the ruling monarch of a specified country, state, or territory.
-
D.
monarch
Indicates that an entity serves as the sovereign ruler (such as a king, queen, or emperor) over a state or territory.
-
E.
includesMonarch
Indicates that one entity contains, comprises, or has as part of it a particular monarch as a member or constituent.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd79184819088948cd38d10a4a5 |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:33 p.m.