Triple
T22197425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Succession Act 1543 |
E548583
|
entity |
| Predicate | positionInSuccessionOrder |
P656
|
FINISHED |
| Object | Edward then Mary then Elizabeth |
—
|
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: Edward then Mary then Elizabeth | Statement: [Third Succession Act 1543, positionInSuccessionOrder, Edward then Mary then Elizabeth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInSuccessionOrder Context triple: [Third Succession Act 1543, positionInSuccessionOrder, Edward then Mary then Elizabeth]
-
A.
successionOrder
chosen
Indicates the ordered sequence in which entities are designated to succeed or take over a role, position, or title.
-
B.
successorRank
Indicates that one entity holds the next higher position or rank in an ordered hierarchy relative to another entity.
-
C.
positionInLineOfSuccessionToThrone
Indicates the ordinal place an individual holds in the ordered sequence of heirs eligible to inherit a throne.
-
D.
positionInLineOfSuccessionAtBirth
Indicates the ordinal place an individual held in a defined line of succession at the moment of their birth.
-
E.
successorInLineup
Indicates that one entity immediately follows another in a specified ordered lineup or sequence.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae8c74c819080c7f9e8383ecaa7 |
completed | April 28, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:36 p.m.