Triple
T3006146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Williams |
E81905
|
entity |
| Predicate | hasFrequencyRankInEnglandAndWales |
P29278
|
FINISHED |
| Object | among most common surnames |
—
|
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: among most common surnames | Statement: [Williams, hasFrequencyRankInEnglandAndWales, among most common surnames]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFrequencyRankInEnglandAndWales Context triple: [Williams, hasFrequencyRankInEnglandAndWales, among most common surnames]
-
A.
hasPopulationRankInUK
Indicates the relative position of an entity’s population size compared to other entities within the United Kingdom.
-
B.
orderRankWithinOrderOfTheBritishEmpire
Indicates the specific hierarchical rank an individual holds within the Order of the British Empire honors system.
-
C.
wasTopGivenNameInCountry
Indicates that a given name held the highest popularity rank among all given names within a specified country for a particular time period.
-
D.
frequencyRankInUnitedStates
Indicates the relative position of something in an ordered list based on how frequently it occurs within the United States.
-
E.
isAmongMostCommonSurnamesIn
chosen
Indicates that a surname ranks within the group of most frequently occurring surnames in a specified region or population.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a48f0888190bdec150dac623851 |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad96180eb08190a524c5f458d41382 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.