Triple
T2519598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Het melkmeisje |
E55490
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Het melkmeisje |
E55490
|
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: Het melkmeisje | Statement: [Het melkmeisje, title, Het melkmeisje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Het melkmeisje Context triple: [Het melkmeisje, title, Het melkmeisje]
-
A.
Het melkmeisje
chosen
Het melkmeisje is a famous 17th-century painting by Dutch artist Johannes Vermeer depicting a kitchen maid pouring milk in a quiet domestic interior.
-
B.
The Cow
The Cow is the English title of Surah Al-Baqarah, the Quran’s longest chapter, which covers core themes of faith, law, guidance, and the relationship between God and humanity.
-
C.
Herbstmilch
Herbstmilch is a German film adaptation of Anna Wimschneider’s autobiographical novel, depicting her harsh rural upbringing and experiences during World War II.
-
D.
Milch
Milch is a German surname most notably borne by Erhard Milch, a high-ranking Luftwaffe officer during World War II.
-
E.
Tine Havelaar
Tine Havelaar is a character in Multatuli’s novel "Max Havelaar," depicted as the devoted and morally upright wife of the protagonist.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2343e3081908819dc58d8ff40ce |
completed | March 7, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2ba2adc081908a0c7ff24db89de6 |
completed | March 9, 2026, 8:20 p.m. |
Created at: March 6, 2026, 9:46 p.m.