Triple
T18434257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guerin v. The Queen |
E450350
|
entity |
| Predicate | foundCrownLiable |
P131588
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Guerin v. The Queen, foundCrownLiable, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundCrownLiable Context triple: [Guerin v. The Queen, foundCrownLiable, true]
-
A.
establishesLiabilityFor
Indicates that one party is held legally responsible or accountable for a particular act, omission, or outcome.
-
B.
liabilityType
Indicates the specific category or nature of liability associated with an entity, obligation, or financial exposure.
-
C.
crownContains
Indicates that a crown includes or holds within it a specified object, element, or component.
-
D.
foundUnlawfulBy
Indicates that an entity has been judged or determined to have acted unlawfully by a particular authority or decision-making body.
-
E.
crownPresent
Indicates that a crown is currently present on or with the relevant entity.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b1915d88190a1ecd81cd78ee7d2 |
completed | April 19, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69e469c943a4819094c8fdc5971ad3a7 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:28 a.m.