Triple
T22672863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loreak |
E560266
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Loreak |
—
|
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: Loreak | Statement: [Loreak, title, Loreak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loreak Context triple: [Loreak, title, Loreak]
-
A.
Loreak
chosen
Loreak is a critically acclaimed 2014 Basque-language drama film that explores grief and human connection through the mysterious appearance of anonymous flower bouquets.
-
B.
Loarki
Loarki is a lesser-known dialect of the Rajasthani language spoken by specific communities in the northwestern Indian subcontinent.
-
C.
Lorn
Lorn is a residential suburb of Maitland in the Hunter Region of New South Wales, Australia, known for its historic homes and village-like atmosphere.
-
D.
Lorn
Lorn is a historic district on the west coast of Scotland, known for its rugged landscapes and coastal scenery within the council area of Argyll and Bute.
-
E.
Lornay
Lornay is a small French commune located in the Haute-Savoie department in southeastern France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17821daf88190b18a73a222fc22fb |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.