Triple
T22225505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergeant Gerry Boyle |
E549326
|
entity |
| Predicate | filmCountryOfOriginContext |
P41843
|
FINISHED |
| Object | Irish film |
—
|
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: Irish film | Statement: [Sergeant Gerry Boyle, filmCountryOfOriginContext, Irish film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmCountryOfOriginContext Context triple: [Sergeant Gerry Boyle, filmCountryOfOriginContext, Irish film]
-
A.
filmCountryOfOrigin
chosen
Indicates the country where a film was originally produced or created.
-
B.
productionCountryOfWorkAppearsIn
Indicates that a country is the production country of a work in which a given entity appears.
-
C.
filmingCountry
Indicates the country where the filming or primary production of a work took place.
-
D.
countryOfTitle
Indicates the country with which a given title (such as a noble, official, or honorific title) is formally associated or under whose jurisdiction it is held.
-
E.
productionCountries
Indicates the countries where a work (such as a film or TV show) was produced or financed.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bee8de8819091ec5d14ea057f9e |
completed | April 28, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:37 p.m.