Triple
T6441162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Het Lieverdje |
E138226
|
entity |
| Predicate | hasNameInDutch |
P13254
|
FINISHED |
| Object | Het Lieverdje |
E554649
|
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 Lieverdje | Statement: [Het Lieverdje, hasNameInDutch, Het Lieverdje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Het Lieverdje Context triple: [Het Lieverdje, hasNameInDutch, Het Lieverdje]
-
A.
Het Lieverdje
chosen
Het Lieverdje is a small bronze statue of a street urchin in central Amsterdam, symbolizing the city's playful, rebellious youth and serving as a well-known local meeting point.
-
B.
Kleine Emme
Kleine Emme is a river in central Switzerland that flows through the canton of Lucerne before joining the Reuss River.
-
C.
The Little Friend
The Little Friend is a 2002 novel by Donna Tartt that follows a young girl in Mississippi who becomes obsessed with uncovering the truth behind her brother’s long-unsolved murder.
-
D.
The Boy
The Boy is a 2016 American horror film about a young woman hired to nanny a lifelike doll that may be supernaturally alive.
-
E.
The Baby
"The Baby" is a country song recorded by Blake Shelton that became one of his early signature hits.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06968c6a88190a623da9bd3152a66 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bc48220819092b0b63a616289e9 |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:46 p.m.