Triple
T37482098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welsh Corgi Pembroke |
E931436
|
entity |
| Predicate | famouslyOwnedBy |
P128717
|
FINISHED |
| Object | Queen Elizabeth II |
—
|
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: Queen Elizabeth II | Statement: [Welsh Corgi Pembroke, famouslyOwnedBy, Queen Elizabeth II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: famouslyOwnedBy Context triple: [Welsh Corgi Pembroke, famouslyOwnedBy, Queen Elizabeth II]
-
A.
notablePropertyOwnerOf
chosen
Indicates that a subject is a significant or noteworthy owner of a particular property or asset.
-
B.
ownedBy
Indicates that one entity possesses legal or rightful ownership of another entity.
-
C.
ownedByFictionalCharacter
Indicates that something is possessed or owned by a fictional (not real-world) character.
-
D.
organFamousFor
Indicates that an organ is widely recognized or notable for a particular characteristic, function, or association.
-
E.
notoriouslyAssociatedWith
Indicates a widely recognized and often negative or infamous association between one entity and another.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.