Triple
T25860550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth I of England is excommunicated |
E651465
|
entity |
| Predicate | canonicalEffect |
P159359
|
FINISHED |
| Object | denial of Elizabeth I’s authority for obedient Catholics |
—
|
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: denial of Elizabeth I’s authority for obedient Catholics | Statement: [Elizabeth I of England is excommunicated, canonicalEffect, denial of Elizabeth I’s authority for obedient Catholics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canonicalEffect Context triple: [Elizabeth I of England is excommunicated, canonicalEffect, denial of Elizabeth I’s authority for obedient Catholics]
-
A.
canonicalEffect
chosen
Indicates the standard or primary effect that an action, event, or entity is typically understood to produce.
-
B.
conditionalEffect
Indicates that one event, state, or action occurs or holds only if a specified condition is met.
-
C.
hasDirectEffect
Indicates that one entity produces an immediate and unmediated impact or change on another entity.
-
D.
ultimateEffect
Indicates the final or overall outcome that results from a preceding action, condition, or sequence of events.
-
E.
hasEffectIn
Indicates that one entity produces, causes, or exerts an effect within a specified context, system, or environment.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6026b467c8190a1f8be336f8679da |
completed | May 2, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 8:05 a.m.