Triple
T33328039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidency of John Tyler |
E853318
|
entity |
| Predicate | presidentialSuccessionNumber |
P179272
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Presidency of John Tyler, presidentialSuccessionNumber, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidentialSuccessionNumber Context triple: [Presidency of John Tyler, presidentialSuccessionNumber, 1]
-
A.
presidentialLineOfSuccessionRank
Indicates the position an individual holds in the ordered sequence of officials designated to assume the presidency if the office becomes vacant.
-
B.
precedesInSuccessionToPresidency
Indicates that one individual held the presidency immediately before another, establishing a direct order in presidential succession.
-
C.
incumbentPresidentNumber
Indicates the ordinal position or sequence number of the person currently serving as president.
-
D.
presidentNumberElected
Indicates the ordinal number corresponding to the sequence in which a person was elected president.
-
E.
presidentialNumber
Indicates the ordinal position a person holds in a sequence of presidents (e.g., first, second, third president).
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: May 1, 2026, 1:34 a.m.