Triple
T13407551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of the Prince of Wales (future George II) |
E319999
|
entity |
| Predicate | subjectLaterTitle |
P17035
|
FINISHED |
| Object | King of Great Britain |
—
|
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: King of Great Britain | Statement: [Portrait of the Prince of Wales (future George II), subjectLaterTitle, King of Great Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectLaterTitle Context triple: [Portrait of the Prince of Wales (future George II), subjectLaterTitle, King of Great Britain]
-
A.
hasLaterTitle
chosen
Indicates that one title occurs chronologically after another title in a sequence or timeline.
-
B.
laterTitleHolder
Indicates that one entity is a subsequent holder of a particular title or position previously held by another entity.
-
C.
titleBecomes
Indicates that one title changes into or is replaced by another title over time.
-
D.
nextTitleType
Indicates the type or category of the title that immediately follows another title in a sequence or series.
-
E.
title
Indicates that one entity serves as the formal name or designation of 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4be498819094798473a1bfd853 |
completed | April 12, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:35 p.m.