Triple
T12811138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeroen Krabbé |
E306272
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jeroen |
E360836
|
NE 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: Jeroen | Statement: [Jeroen Krabbé, givenName, Jeroen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeroen Context triple: [Jeroen Krabbé, givenName, Jeroen]
-
A.
Jeroen
chosen
Jeroen is a common Dutch male given name, often associated internationally with figures such as politician Jeroen Dijsselbloem.
-
B.
Jeroen Krabbé
Jeroen Krabbé is a Dutch actor and director known internationally for his roles in films such as "The Living Daylights," "The Fugitive," and "Ocean's Twelve."
-
C.
Dirk De Jonge
Dirk De Jonge was an American communist and political activist best known for his role in the landmark U.S. Supreme Court case De Jonge v. Oregon, which expanded protections for freedom of assembly.
-
D.
Jeroen van der Boom
Jeroen van der Boom is a Dutch singer, television presenter, and entertainer known for his successful music career and prominent roles on Dutch TV talent shows.
-
E.
Thijs Lauer
Thijs Lauer is the son of former American television news anchor Matt Lauer.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e817598819080fdd61e9d61236e |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b95e4dc8190adc0bf9154971028 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:31 p.m.