Triple
T14206045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Cambridge (1362 creation) |
E352096
|
entity |
| Predicate | holderIsPrince |
P113202
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Earl of Cambridge (1362 creation), holderIsPrince, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderIsPrince Context triple: [Earl of Cambridge (1362 creation), holderIsPrince, yes]
-
A.
hasRoyalStatus
Indicates that an entity possesses a recognized royal rank, title, or status within a monarchy or royal system.
-
B.
hasRoyalConnection
Indicates a relationship where an entity is linked or associated in some notable way to royalty, a royal family, or a royal institution.
-
C.
hasRoyalHouse
Indicates that an entity is associated with or belongs to a particular royal house or dynasty.
-
D.
princessOf
Indicates that one entity holds the royal title or role of princess in relation to another entity, typically a realm, family, or sovereign.
-
E.
hasRoyalCircle
Indicates that an entity belongs to, is part of, or is associated with a royal or monarch’s inner circle or court.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f84f288190877116330bd54393 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:05 a.m.