Triple
T33977668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joanna Lyppiatt |
E871184
|
entity |
| Predicate | settingCountryInWork |
P157605
|
FINISHED |
| Object | United Kingdom |
—
|
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 Kingdom | Statement: [Joanna Lyppiatt, settingCountryInWork, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingCountryInWork Context triple: [Joanna Lyppiatt, settingCountryInWork, United Kingdom]
-
A.
workFromCountry
Indicates that an entity performs their work or job while being physically located in a specified country.
-
B.
worksInCountry
Indicates that an entity performs its work or professional activities within the specified country.
-
C.
settingCountries
chosen
Indicates that a work, event, or narrative is set in or takes place within the specified countries.
-
D.
isFromWorkCountry
Indicates that an entity originates from or is associated with the country where another entity works.
-
E.
workPremiereCountry
Indicates the country in which a work (such as a film, play, or musical piece) was first premiered or publicly presented.
- 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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 1, 2026, 1:50 a.m.