Triple
T1759811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Alfred of Great Britain |
E38630
|
entity |
| Predicate | generationWithinHouse |
P31427
|
FINISHED |
| Object | child of George III |
—
|
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: child of George III | Statement: [Prince Alfred of Great Britain, generationWithinHouse, child of George III]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generationWithinHouse Context triple: [Prince Alfred of Great Britain, generationWithinHouse, child of George III]
-
A.
house1
Indicates that something is identified or classified as a house or dwelling.
-
B.
house2
Indicates a relationship where one entity is a secondary, related, or alternative house associated with another entity.
-
C.
laterHouseName
Indicates that one house or residence is known by a different name at a later time than its earlier or original name.
-
D.
hasGeneralHouse
Indicates that an entity possesses or is associated with a general-purpose house or primary residential building.
-
E.
successorInHouse
Indicates that one entity directly follows another in holding a position or role within the same house or lineage.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab173936b4819097332ee185996bbd |
completed | March 6, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69aa61c9e06c819085489e00cfe72153 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab173830a481908b67928f16f5d999 |
completed | March 6, 2026, 6:04 p.m. |
Created at: March 4, 2026, 7:31 p.m.