Triple
T26244643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Royal |
E656407
|
entity |
| Predicate | Louise, Princess Royal and Duchess of FifeFather |
P160401
|
FINISHED |
| Object | King Edward VII |
—
|
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: King Edward VII | Statement: [Princess Royal, Louise, Princess Royal and Duchess of FifeFather, King Edward VII]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Louise, Princess Royal and Duchess of FifeFather Context triple: [Princess Royal, Louise, Princess Royal and Duchess of FifeFather, King Edward VII]
-
A.
heldByPrincessLouiseDaughterOfEdwardVII
Indicates that something is possessed, owned, or held by Princess Louise, the daughter of Edward VII.
-
B.
dateOfSuccessionAsDuchessOfFife
Indicates the date on which an individual assumed the title and role of Duchess of Fife.
-
C.
predecessorAsPrincessRoyal
Indicates that one entity previously held the title or position of Princess Royal immediately before the other entity.
-
D.
Princess ElizabethRank
Indicates that an entity holds the noble or royal rank or title of Princess Elizabeth.
-
E.
dateBecamePrincessRoyal
Indicates the specific date on which an individual assumed the title or status of Princess Royal.
- 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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60dc5cbc48190952960eeab21cc9f |
completed | May 2, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 26, 2026, 9:05 p.m.