Triple
T16408447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamehameha V |
E398494
|
entity |
| Predicate | hadNoLegitimateHeirs |
P123313
|
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: [Kamehameha V, hadNoLegitimateHeirs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadNoLegitimateHeirs Context triple: [Kamehameha V, hadNoLegitimateHeirs, true]
-
A.
hadNoSurvivingChildren
Indicates that the person did not have any children who were alive at the relevant point in time.
-
B.
hasNoAutomaticSuccessionRight
Indicates that an entity does not possess an inherent or legally recognized right to automatically succeed another entity in a role, position, or entitlement.
-
C.
lastLegitimateMaleHeirOf
Indicates that one entity is the final male descendant in a legitimate line of succession or inheritance from another entity.
-
D.
notPrimaryHeir
Indicates that the referenced person is explicitly not the main or principal heir in an inheritance or succession context.
-
E.
legalSuccession
Indicates that one entity lawfully assumes the rights, obligations, or position previously held by another entity, typically through inheritance, transfer, or statutory succession.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32870e44c8190aae7bc6e6022ceb7 |
completed | April 18, 2026, 6:45 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:09 a.m.