Triple
T23074714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghost Catchers |
E575296
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Ole Olsen |
—
|
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: Ole Olsen | Statement: [Ghost Catchers, hasCastMember, Ole Olsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ole Olsen Context triple: [Ghost Catchers, hasCastMember, Ole Olsen]
-
A.
Ole Olsen
chosen
Ole Olsen was a pioneering Danish film producer and entrepreneur who played a key role in the early development of the European film industry.
-
B.
Jens Birkholm
Jens Birkholm was a Danish painter associated with the Funen Painters, known for his socially conscious depictions of working-class life and intimate interior scenes.
-
C.
Willy Hansen
Willy Hansen was a Danish track cyclist best known for winning multiple medals, including Olympic bronze, in the early 20th century.
-
D.
Johan Jensen
Johan Jensen was a Danish mathematician best known for his contributions to convex analysis and for formulating the inequality that bears his name.
-
E.
Ole Jacobsen
Ole Jacobsen is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Jacobsen.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c61bb7c8190a3d9b1fba173cdff |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.