Triple
T27151371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Wood's halfpence |
E682397
|
entity |
| Predicate | monarchDuringIssue |
P163091
|
FINISHED |
| Object | George I of Great Britain |
—
|
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: George I of Great Britain | Statement: [William Wood's halfpence, monarchDuringIssue, George I of Great Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchDuringIssue Context triple: [William Wood's halfpence, monarchDuringIssue, George I of Great Britain]
-
A.
monarchIn
Indicates that a person serves as the ruling monarch of a specified country, state, or territory.
-
B.
monarchInQuestion
Indicates that the referenced entity is the specific monarch being discussed or evaluated in the given context.
-
C.
monarchInvolved
Indicates that a monarch participates in, is associated with, or plays a role in a particular event, action, or situation.
-
D.
monarchIssuer
Indicates that a monarch formally issues, grants, or promulgates something, such as a decree, charter, or official document.
-
E.
monarch
Indicates that an entity serves as the sovereign ruler (such as a king, queen, or emperor) over a state or territory.
- F. None of above. chosen
Provenance (4 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_69eefaceb2a08190b9659b7f730629f5 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 9:14 a.m.