Triple
T29534585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amanda Fowler |
E749301
|
entity |
| Predicate | portrayedByCountryOfOrigin |
P193192
|
FINISHED |
| Object | Australia |
—
|
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: Australia | Statement: [Amanda Fowler, portrayedByCountryOfOrigin, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedByCountryOfOrigin Context triple: [Amanda Fowler, portrayedByCountryOfOrigin, Australia]
-
A.
portrayedByCountryOfCitizenship
Indicates that the subject is depicted or represented by an individual whose country of citizenship is the specified country.
-
B.
modeledInCountry
Indicates that something (such as a model, design, or representation) was created, developed, or constructed within the specified country.
-
C.
portrayedByBirthPlace
Indicates that the person who portrays a role or character was born in a specified place.
-
D.
appearsInWorkCountryOfOrigin
Indicates that an entity appears in a work whose country of origin is the specified country.
-
E.
productionCountryOfWorkAppearsIn
Indicates that a country is the production country of a work in which a given entity appears.
- 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_69f0bd47abb081909bd6e6a33d770fd8 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
| PDg | Predicate description generation | batch_69fd3a6905b88190ae12b43576f4cc63 |
completed | May 8, 2026, 1:20 a.m. |
Created at: April 28, 2026, 4:56 p.m.