Triple
T13076237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Verhoeven |
E329582
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Spetters |
E1019392
|
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: Spetters | Statement: [Paul Verhoeven, directed, Spetters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spetters Context triple: [Paul Verhoeven, directed, Spetters]
-
A.
Spetters
chosen
Spetters is a 1980 Dutch drama film directed by Paul Verhoeven that follows three young motocross racers whose lives unravel amid ambition, sexuality, and disillusionment.
-
B.
Spehr
Spehr is a surname variant of Speer, borne by individuals of Germanic origin.
-
C.
Jasaan
Jasaan is a coastal municipality in Misamis Oriental, Philippines, known for its beaches, marine resources, and proximity to the urban center of Cagayan de Oro.
-
D.
Spangenberg
Spangenberg is a small town in Germany, historically situated within the region of Westphalia.
-
E.
Schierke
Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98117209081908272021013df2222 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27058dc8190a64e1a929f296619 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:01 p.m.