Triple
T33405545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John (father of the family) |
E855427
|
entity |
| Predicate | settingCountryDepicted |
P157605
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [John (father of the family), settingCountryDepicted, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingCountryDepicted Context triple: [John (father of the family), settingCountryDepicted, United States]
-
A.
depictsCountry
Indicates that one entity visually represents or portrays a specific country.
-
B.
settingCountries
chosen
Indicates that a work, event, or narrative is set in or takes place within the specified countries.
-
C.
designationCountry
Indicates the country that officially assigns or confers a particular status, title, or designation on an entity.
-
D.
countryFeatured
Indicates that a particular country is highlighted or given special prominence in a given context or presentation.
-
E.
showCountry
Indicates that something displays or reveals information about a country.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 1, 2026, 1:36 a.m.