Triple
T22778612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Dekker |
E563772
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dekker |
—
|
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: Dekker | Statement: [Sam Dekker, familyName, Dekker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dekker Context triple: [Sam Dekker, familyName, Dekker]
-
A.
Dekker
chosen
Dekker is a Dutch-origin surname borne by various notable individuals across fields such as literature, sports, and entertainment.
-
B.
Boehm
Boehm is a surname most prominently associated with Barry W. Boehm, an influential American software engineer known for his work on software cost estimation and the Spiral Model of software development.
-
C.
Rademakers
Rademakers is a Dutch surname most notably associated with Fons Rademakers, an acclaimed film director and producer.
-
D.
Koopmans
Koopmans is a Dutch surname most notably associated with Nobel Prize–winning economist Tjalling C. Koopmans.
-
E.
Demeester
Demeester is a surname of likely Flemish or Dutch origin borne by individuals such as Belgian politician Wivina Demeester.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b631c6881908a6687920923dcf4 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:28 p.m.