Triple
T5054976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Clement II |
E113878
|
entity |
| Predicate | supportedReformMovement |
P51940
|
FINISHED |
| Object | Gregorian Reform precursor |
—
|
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: Gregorian Reform precursor | Statement: [Pope Clement II, supportedReformMovement, Gregorian Reform precursor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportedReformMovement Context triple: [Pope Clement II, supportedReformMovement, Gregorian Reform precursor]
-
A.
associatedWithReformMovement
chosen
Indicates that an entity is connected or linked in some way to a reform movement, such as by participation, support, influence, or affiliation.
-
B.
reform
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
-
C.
supportedLegislation
Indicates that an entity endorsed, promoted, or voted in favor of a particular piece of legislation.
-
D.
isPartOfReform
Indicates that an action, measure, or component belongs to, contributes to, or is included within a broader reform initiative or process.
-
E.
subjectToReformBy
Indicates that an entity is undergoing or designated for changes, improvements, or restructuring carried out by 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd744ccb888190a8a0ddd7c4d62f35 |
completed | March 20, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.